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.NET UI Big Picture: Desktop, ASP.NET and Cross-Platform .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 4h 2m | 475 MB Instructor: Walt Ritscher Most applications feature a user interface (UI), the place where users interact with the computer, website, application, or platform. And if you're a .NET developer, you have a lot of options to choose from when it comes to designing your UI. In this course-designed for developers, tech managers, development team leads, and department decision-makers-instructor Walt Ritscher provides a wide-angle overview of the .NET framework and the choices a developer has to make when building a UI. From desktop and web development to cross-platform, mobile, and graphics technology, by the end of this course, you'll be prepared to make more informed decisions about which UI tool is best for your next project. More Info DDownload https://ddownload.com/79j3yqrox2wx/yxusj.LinkedIn.-..NET.UI.Big.Picture.Desktop.ASP.NET.and.Cross-Platform.rar RapidGator https://rapidgator.net/file/30bdcca0caeba2684419b19fe1564319/yxusj.LinkedIn.-..NET.UI.Big.Picture.Desktop.ASP.NET.and.Cross-Platform.rar NitroFlare https://nitroflare.com/view/001C978221BC693/yxusj.LinkedIn.-..NET.UI.Big.Picture.Desktop.ASP.NET.and.Cross-Platform.rar

Exploring the Dark Web Published 5/2025 Duration: 1h 47m | .MP4 1920x1080, 30 fps(r) | AAC, 44100 Hz, 2ch | 963 MB Genre: eLearning | Language: English Dark Web Primer What you'll learn - Dark web - OSINT - Sock Puppets - Virtual Machines - Crypto Requirements - Internet connection, 50 GB of hard drive space and the ability to install software Description Step beyond the surface web and dive into the lesser-known layers of the internet with our comprehensive online course: "Exploring the Dark Web: Tools, Safety, and Strategy." Whether you're a cybersecurity student, digital investigator, or simply curious, this course will guide you through the fundamentals of the dark web-ethically and securely. What You'll Learn: What the Dark Web Really Is: Myths vs. reality, structure, and key differences from the deep and surface web. How to Navigate Safely: Learn about Tor, Tails OS and best practices for remaining anonymous. Creating Sock Puppets: Build safe, online identities for research or monitoring. Markets & Communities: Explore how marketplaces and forums operate and other dark web sites Using Virtual Machines: Learn to use VMs and sandboxing tools for safe exploration and analysis. Digital Hygiene & Legal Awareness: Stay informed about the legal and ethical boundaries of accessing the dark web. Who It's For: Cybersecurity and infosec learners Law enforcement and OSINT analysts Journalists and privacy advocates Anyone curious about how the hidden web works No illegal access or activity is taught or encouraged. This course is strictly educational and designed to promote digital literacy and responsible internet use. Ready to explore the hidden layers of the internet? Enroll now and demystify the dark web. Who this course is for: - Anyone who wants to learn more about the dark web, exploration, and OSINT More Info Please check out others courses in your favourite language and bookmark them - - - - DDownload https://ddownload.com/ebz9tywpxyui/yxusj..-.Exploring.the.Dark.Web.rar RapidGator https://rapidgator.net/file/d20bcf0450ad581598ebd0b7d3f5bcc7/yxusj..-.Exploring.the.Dark.Web.rar NitroFlare https://nitroflare.com/view/FECA297E7F8CAB0/yxusj..-.Exploring.the.Dark.Web.rar

Deepseek Essentials: Exploring Open-Source Ai For Everyone Published 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 575.23 MB | Duration: 2h 46m Master Code-Free AI Tools to Automate Tasks, Spark Creativity, and Innovate Ethically What you'll learn Leverage DeepSeek's core features to solve everyday tasks, from productivity to creativity, without needing technical expertise. Master prompt engineering by crafting clear, specific, and context-rich prompts to generate high-quality AI responses. Apply AI tools to real-world scenarios, such as drafting emails, summarizing content, brainstorming ideas, and simplifying complex topics. Utilize advanced techniques like iterative prompting and multi-step workflows to refine outputs and tackle complex challenges. Navigate ethical considerations and limitations of AI, ensuring responsible use while knowing when human judgment is essential. Requirements None (no programming experience required). Description DeepSeek Essentials: Exploring Open-Source AI for Everyone is your invitation to dive into the world of open-source artificial intelligence-no technical expertise required! This beginner-friendly course demystifies AI by focusing on DeepSeek, a powerful, community-driven AI tool designed to empower everyone, from curious learners to professionals, to harness AI for everyday tasks. Whether you want to streamline your workflow, spark creativity, or simply understand how AI can enhance your life, this course equips you with the skills to interact with AI confidently and ethically using simple prompts.Over four engaging modules, you'll explore DeepSeek's open-source ecosystem, learning how to craft prompts that unlock its full potential. Discover how to generate ideas, automate repetitive tasks, draft content, simplify research, and even tackle creative projects like storytelling or brainstorming-all guided by intuitive, hands-on exercises. You'll also delve into the ethical implications of AI, learning how open-source tools prioritize transparency, inclusivity, and community collaboration. By the end, you'll not only master practical AI applications but also join a global movement democratizing technology for all.Why enroll?Zero coding needed: Learn through prompts and plain language.Real-world impact: Apply AI to personal, professional, and creative challenges.Ethical foundation: Understand open-source AI's role in building a fairer digital future.Lifetime access: Revisit modules as AI evolves.No matter your background-educator, entrepreneur, artist, or hobbyist-this course transforms AI from a buzzword into a daily ally. Join us to unlock the future of open-source AI, where technology serves everyone, not just tech elites. Enroll today and start shaping tomorrow! Overview Section 1: Introduction Lecture 1 Welcome to Your DeepSeek Journey! Section 2: Introduction to DeepSeek Lecture 2 What is DeepSeek? Lecture 3 Overview of DeepSeek's development and goals Lecture 4 How DeepSeek compares to ChatGPT Lecture 5 Signing up and accessing DeepSeek Lecture 6 Overview of features and settings Section 3: The Art of Prompting: Exploring Prompt Types Lecture 7 What is prompting? Lecture 8 Modifying Prompts Lecture 9 Zero-Shot Prompting Lecture 10 One-Shot Prompting Lecture 11 Few-Shot Prompting Lecture 12 Chain-of-Thought (CoT) Prompting Lecture 13 Instruction-Based Prompting Lecture 14 Role-Based Prompting Lecture 15 Multimodal Prompting Lecture 16 Open-Closed-Ended Prompting Lecture 17 Iterative Prompting Lecture 18 Meta-Prompting Lecture 19 Best Practices for Prompting Lecture 20 Supportive Examples Section 4: The Power of Words: Understanding How Prompt Structure Influences DeepSeek Resp Lecture 21 Boost Your Prompts with Action Verbs: Unlock Creativity & Precision Lecture 22 Practical Action Verbs Lecture 23 Enhance Your Prompts with Descriptive Adjectives: Add Depth & Detail Lecture 24 Practical Descriptive Adjectives Lecture 25 Tone-Setting Words: Craft Prompts with the Perfect Mood & Impact Lecture 26 Practical Tone-Setting Words Lecture 27 Master Scope-Indicating Words: Sharpen Your Prompts for Precision & Clarity Lecture 28 Practical Scope-Indicating Words Lecture 29 Mastering Prompts with Comparative & Instructional Words: Enhance Clarity & Dept Lecture 30 Practical Comparative & Instructional Words Lecture 31 Mastering Modal Verbs: Enhance Your Prompts for Clarity & Flexibility Lecture 32 Practical Modal Verbs Lecture 33 Summarizing the Impact of Words Lecture 34 Supportive Examples Section 5: Structuring Outputs in DeepSeek: Crafting Prompts for Tables, Lists and More Lecture 35 Crafting Prompts for Table Outputs Lecture 36 Practical Table Outputs Lecture 37 Mastering List Output Prompts Lecture 38 Practical List Outputs Lecture 39 Code Output Prompts Lecture 40 Practical Code Output Prompts Lecture 41 Crafting Prompts for Headings and Subheadings Lecture 42 Practical Headings and Subheadings Outputs Lecture 43 Mathematical Formula and Quote Outputs Lecture 44 Practical Mathematical Formula and Quote Outputs Lecture 45 Creating Structured Hyperlinks through Prompts Lecture 46 Practical Hyperlinks Outputs Lecture 47 Creating Collapsible, Flowcharts and Timeline Outputs Lecture 48 Practical Outputs for ASCII Art and Timeline Lecture 49 Crafting Prompts for Comparison Charts and Concept Maps Lecture 50 Practical Charts and Concept Map Outputs Lecture 51 Designing Prompts for Data Visualization: Bar, Pie Charts and More Lecture 52 Practical Data Visualization Lecture 53 Crafting Prompts for Tables, Pseudo-Code, FAQs, and Multiple Choice Outputs Lecture 54 Practical FAQ, Pseudo-Code, and Multiple Choice Outputs Lecture 55 Supportive Examples Section 6: DeepSeek: Three Modes, One Powerful Model Lecture 56 Chatting Mode (DeepSeek V3) Lecture 57 Deep Think mode (DeepSeek R1) Lecture 58 Practical Comparison: R1 vs V3 Lecture 59 Exploring Search Mode Lecture 60 A Practical Guide of Search Mode Lecture 61 Choosing the Right Mode: Chat, Deep Think, and Search for Your Needs Section 7: Bringing DeepSeek to Life: Practical Uses for Everyday Challenges Lecture 62 Boosting Personal Productivity Lecture 63 Practical Prompts to Maximize Productivity Lecture 64 From Imagination to Output: Creative Writing and Content Generation Lecture 65 Practical Prompts for Engaging Writing and Content Generation Lecture 66 Enhancing Student Learning Through Prompt-Based Tutoring Lecture 67 A Practical Approach for Learning Lecture 68 Supportive Examples Section 8: Multilingual and Cultural Capabilities Lecture 69 Language Translation Lecture 70 A Practical Guide to Language Translation Lecture 71 Navigating Cultural Insights and Nuances Lecture 72 Practical Insights into Cultural Nuances Lecture 73 Supportive Examples Non-technical professionals (e.g., marketers, writers, managers) who want to enhance productivity and creativity using AI tools like DeepSeek.,Students and educators seeking to simplify research, learning, or content creation without coding skills.,Everyday users interested in automating tasks (emails, schedules, brainstorming) or exploring AI for personal projects.,Creatives and hobbyists (artists, bloggers, DIY enthusiasts) looking to generate ideas, drafts, or solutions through prompts.,Curious lifelong learners eager to understand AI's practical applications and ethical use in daily life. 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Mastering AI Agents Bootcamp: Build Smart Chatbots & Tools Published 2/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 930 MB | Duration: 2h 25m Build AI agents, automation bots, chat assistants, task managers, and smart workflows using local AI models-no APIs req What you'll learn Build AI-powered agents for task automation, chatbots, and intelligent assistants, enhancing workflow efficiency without relying on external APIs. Develop AI models that understand, process, and generate human-like responses, enabling interactive and dynamic conversation systems. Implement AI-driven automation bots that perform repetitive tasks, manage schedules, and optimize workflows without manual intervention. Utilize local vector databases like FAISS to store, retrieve, and process knowledge for AI assistants, eliminating reliance on cloud-based APIs. Integrate speech-to-text and text-to-speech capabilities into AI agents, enabling hands-free interaction for enhanced accessibility. Design AI chatbots with long-term memory using local storage, allowing intelligent agents to retain context across multiple conversations. Develop web-based AI assistants with Streamlit, providing interactive user interfaces for real-time AI-powered automation and assistance. Create AI-powered document readers that extract, summarize, and answer questions from PDFs without requiring cloud-based AI services. Build AI-driven personal finance trackers that analyze expenses, provide budgeting advice, and generate financial insights locally. Enhance AI models with prompt engineering techniques, enabling better responses, improved task execution, and more personalized interactions. Requirements No prior AI experience needed! Basic Python programming knowledge is helpful but not required, as fundamental coding concepts will be covered along the way. A computer (Windows, macOS, or Linux) with internet access to install required tools, run AI models locally, and develop interactive AI-powered applications. Familiarity with command-line tools like Terminal or Command Prompt is useful but not mandatory, as step-by-step guidance will be provided for all setups. Basic understanding of logic, problem-solving, and structured thinking will help in designing AI workflows and automating tasks efficiently. Some exposure to machine learning concepts is beneficial but not required; AI fundamentals and practical applications will be introduced progressively. A willingness to experiment, debug, and iterate on AI projects to gain hands-on experience in building, testing, and refining intelligent automation tools. Patience and curiosity to explore AI technologies, learn prompt engineering techniques, and build functional AI agents with real-world use cases. An open mindset to adopt AI-driven solutions, automate daily tasks, and improve efficiency using AI-powered assistants and automation bots. Basic knowledge of JSON, text processing, or web scraping is useful but not necessary; all relevant concepts will be explained with hands-on projects. No expensive software or cloud services needed! All AI agents and automation bots will be built using open-source tools and local execution methods. Description Artificial intelligence is transforming the way we work, automate tasks, and interact with technology. This course is designed to help learners build AI-powered agents, automation bots, chat assistants, and task management systems using open-source tools without relying on external APIs or cloud-based services. Whether you are a beginner exploring artificial intelligence or a developer looking to integrate AI into real-world applications, this course provides a hands-on approach to building AI-driven automation solutions.Throughout this course, learners will gain practical experience in developing intelligent assistants that can process text, respond to user queries, automate repetitive tasks, and manage workflows efficiently. The focus will be on implementing AI-powered chatbots, smart task managers, document readers, web scrapers, and personal productivity assistants. By leveraging local AI models, vector databases, and natural language processing techniques, students will learn how to create AI solutions that function entirely on their machines without any reliance on cloud APIs.The course starts with an introduction to AI agents, covering the fundamental concepts of natural language processing, automation workflows, and task execution. Learners will build chatbots capable of carrying on meaningful conversations while maintaining memory of past interactions. By integrating AI models with local vector databases such as FAISS, students will store and retrieve information efficiently, allowing their AI agents to answer complex queries based on stored knowledge. As the course progresses, students will develop AI-powered task automation bots capable of scheduling, organizing, and prioritizing tasks using machine intelligence.One of the key aspects of this course is building AI-driven document readers that extract, summarize, and provide answers from PDF files. Learners will implement an AI system that processes and retrieves relevant information, enabling intelligent document search and Q&A functionalities. Additionally, students will create an AI-powered web scraper that extracts text from websites, summarizes content, and stores valuable insights in a searchable vector database for later use. These AI automation techniques can be applied in various domains, including research, business intelligence, and content generation.As learners progress through the course, they will work on projects that integrate AI into daily productivity tools. They will develop personal AI assistants that help with scheduling, reminders, and workflow management. The course also covers AI-powered task prioritization, where students will train models to analyze deadlines and assign importance to different activities. By the end of the course, students will have a strong understanding of how to build AI agents capable of automating complex tasks, enhancing productivity, and managing data-driven workflows.This course is designed for software developers, data analysts, AI enthusiasts, and anyone interested in building AI automation solutions. No prior experience in artificial intelligence is required, as all concepts are introduced progressively with step-by-step implementations. Learners will gain hands-on experience with AI tools, machine learning models, and automation frameworks, making this course ideal for those who want to integrate AI into real-world applications. All projects are built using open-source software and executed locally, ensuring privacy, security, and full control over AI-driven automation systems.By the end of this course, students will have the knowledge and practical skills to create AI-powered chatbots, automation bots, document readers, web scrapers, and intelligent personal assistants. They will be equipped to develop AI solutions that streamline workflows, enhance productivity, and automate repetitive tasks efficiently. This course provides a solid foundation in AI-driven automation and equips learners with the ability to design, build, and deploy AI agents for various use cases. Who this course is for Beginners and tech enthusiasts who want to explore AI and build intelligent assistants without prior experience in machine learning or programming. Software developers and engineers looking to integrate AI-powered automation into applications, optimize workflows, and build custom AI assistants. Entrepreneurs and business owners who want to leverage AI automation for customer service, task management, and business efficiency. Freelancers and professionals seeking to enhance their productivity by developing AI-driven task automation bots and personal assistants. Data analysts and researchers interested in using AI to automate data extraction, analysis, and summarization for better insights. Students and learners passionate about artificial intelligence, eager to gain hands-on experience building AI agents and automation tools. Content creators and marketers looking to automate content generation, social media management, and audience engagement using AI. AI hobbyists and innovators who enjoy experimenting with open-source AI tools to develop custom assistants and automation systems. Anyone curious about AI and automation who wants to learn practical applications without relying on complex APIs or cloud services. Developers transitioning into AI and automation, seeking hands-on experience with building smart AI agents using local execution methods. DDownload https://ddownload.com/k10nyo5sx6uc/yxusj.Udemy.-.Mastering.AI.Agents.Bootcamp.Build.Smart.Chatbots..Tools.rar RapidGator https://rapidgator.net/file/f559db0254c11a6cd30dececc7b05857/yxusj.Udemy.-.Mastering.AI.Agents.Bootcamp.Build.Smart.Chatbots..Tools.rar NitroFlare https://nitroflare.com/view/482AF633145920E/yxusj.Udemy.-.Mastering.AI.Agents.Bootcamp.Build.Smart.Chatbots..Tools.rar

Complete WiFi Hacking Course: Beginner to Advanced MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | 1 hours 46 minutes | 38 lectures | 805.91 MB Genre: eLearning | Language: English Learn how to Hack WiFi Networks and Create the Most Effective Evil Twin Attacks using Captive Portals. This course is all about Wi-Fi and the security of wireless networks. You will study the different threats, weaknesses and attack methods. No special skills are required as the course covers everything from the very basics including the installation of Kali Linux. You'll learn how to break any type of Wi-Fi encryption (WEP, WPA/WPA2) using various tools like: Aircrack-ng, Wifite, Crunch, Cowpatty, Pyrit, Reaver. This course is for all levels. I will take you from beginner to advance level, and you will learn how to perform advanced evil twin attacks on targets using a wide variety of tools, and create a captive portal that effectively steals the login credentials. The following topics will be covered during the course: How Wireless Networks Work. Important Settings to Change on Your Router. How to Install Kali Linux in VMware Player. Useful Linux Commands with Examples. Perform a Denial of Service Attack and Find Hidden Wireless Networks. How to Hack Wireless Networks (WEP, WPA, WPA2). Use various tools like: Aircrack-ng, Wifite, Crunch, Cowpatty, Pyrit, Reaver. Set Up an Access Point with a Captive Portal. Create a Fake Captive Portal and use it to Steal Login Information. Customizing the Captive Portal Page. How to Sniff and Inject Packets into a Wireless Network. Use Wireshark Filters to Inspect Packets. Perform an Evil Twin Attack with Airgeddon. Stealing Social Media Accounts using a Captive Portal. How to use Dns Spoofing and BeEF using WiFi Pumpkin. Stealing Login Credentials from a WPA Enterprise Network. Detect and Secure Your System from Evil Twin Attacks. By the time you've completed this course, you will be confident with breaking all types of Wi-Fi encryption methods, and how to create and customize your own evil twin attack for different scenarios. DDownload https://ddownload.com/rgwzolkybxe3/yxusj..-.Complete.WiFi.Hacking.Course.Beginner.to.Advanced.rar RapidGator https://rapidgator.net/file/878596b7a65d9a6dfba91a30af983714/yxusj..-.Complete.WiFi.Hacking.Course.Beginner.to.Advanced.rar NitroFlare https://nitroflare.com/view/1457BAF68B7B9DD/yxusj..-.Complete.WiFi.Hacking.Course.Beginner.to.Advanced.rar

Linear Algebra And Feature Selection In Python Last updated 3/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 1.03 GB | Duration: 2h 54m Acquire the Theoretical and Practical Foundations That Would Allow You to Learn Machine Learning With Understanding What you'll learn Understand the math behind machine learning models Become familiar with basic and advanced linear algebra notions Be able to solve linear equations Determine independency of a set of vectors Calculate eigenvalues and eigenvectors Perform Linear Discriminant Analysis Perform Dimensionality Reduction in Python Carry out Principal Components Analysis Compare the performance of PCA and LDA for classification with SVMs Requirements Suitable for beginners. Some understanding of Python basics and math would be an advantage. Description Do you want to learn linear algebra?You have come to the right place!First and foremost, we want to congratulate you because you have realized the importance of obtaining this skill. Whether you want to pursue a career in data science, machine learning, data analysis, software engineering, or statistics, you will need to know how to apply linear algebra.This course will allow you to become a professional who understands the math on which algorithms are built, rather than someone who applies them blindly without knowing what happens behind the scenes.But let's answer a pressing question you probably have at this point: "What can I expect from this course and how it will help my professional development?"In brief, we will provide you with the theoretical and practical foundations for two fundamental parts of data science and statistical analysis - linear algebra and dimensionality reduction.Linear algebra is often overlooked in data science courses, despite being of paramount importance. Most instructors tend to focus on the practical application of specific frameworks rather than starting with the fundamentals, which leaves you with knowledge gaps and a lack of full understanding. In this course, we give you an opportunity to build a strong foundation that would allow you to grasp complex ML and AI topics.The course starts by introducing basic algebra notions such as vectors, matrices, identity matrices, the linear span of vectors, and more. We'll use them to solve practical linear equations, determine linear independence of a random set of vectors, and calculate eigenvectors and eigenvalues, all preparing you for the second part of our learning journey - dimensionality reduction.The concept of dimensionality reduction is crucial in data science, statistical analysis, and machine learning. This isn't surprising, as the ability to determine the important features in a dataset is essential - especially in today's data-driven age when one must be able to work with very large datasets.Imagine you have hundreds or even thousands of attributes in your data. Working with such complex information could lead to a variety of problems - slow training time, the possibility of multicollinearity, the curse of dimensionality, or even overfitting the training data.Dimensionality reduction can help you avoid all these issues, by selecting the parts of the data which actually carry important information and disregarding the less impactful ones.In this course, we'll discuss two staple techniques for dimensionality reduction - Principal Components Analysis (PCA), and Linear Discriminant Analysis (LDA). These methods transform the data you work with and create new features that carry most of the variance related to a given dataset. First, you will learn the theory behind PCA and LDA. Then, going through two complete examples in Python, you will see how data transformation occurs in practice. For this purpose, you will get one step-by-step application of PCA and one of LDA. Finally, we will compare the two algorithms in terms of speed and accuracy.We've put a lot of effort to make this course the perfect foundational training for anyone who wants to become a data analyst, data scientist, or machine learning engineer. Overview Section 1: Linear Algebra Essentials Lecture 1 What Does The Course Cover Lecture 2 Why Linear Algebra? Lecture 3 Solving Quadratic Equations Lecture 4 Vectors Lecture 5 Matrices Lecture 6 The Transpose of Vectors and Matrices, the Identity Matrix Lecture 7 Linear Independence and Linear Span of Vectors Lecture 8 Basis of a Vector Space, Determinant of a Matrix, Inverse of a Matrix Lecture 9 Solving Equations of the Form Ax=b Lecture 10 The Gauss Method Lecture 11 Other Solutions to the Equation Ax=b Lecture 12 Determining Linear Independence of a Random Set of Vectors Lecture 13 Eigenvalues and Eigenvectors Lecture 14 Calculating Eigenvalues Lecture 15 Calculating Eigenvectors Section 2: Dimensionality Reduction Motivation Lecture 16 Feature Selection, Feature Extraction, and Dimensionality Reduction Lecture 17 The Curse of Dimensionality Section 3: Principal Component Analysis (PCA) Lecture 18 An Overview of PCA Lecture 19 A Step-by-Step Explanation of PCA on California Estates - Example Lecture 20 The Theory Behind PCA Lecture 21 PCA Covariance Matrix in Jupyter - Analysis and Interpretation Section 4: Linear Discriminant Analysis (LDA) Lecture 22 Overall Mean and Class Means Lecture 23 An Overview of LDA Lecture 24 LDA: Calculating the Within- and Between-Class Scatter Matrices Lecture 25 A Step-by-Step Еxplanation of LDA on a Wine Quality Dataset - Example Lecture 26 Calculating the Within- and Between-Class Scatter Matrices Lecture 27 Calculating Eigenvectors and Eigenvalues for the LDA Lecture 28 Analysis of LDA Lecture 29 LDA vs. PCA Lecture 30 Setting Up the Classifier to Compare LDA and PCA Lecture 31 Coding the Classifier for LDA and PCA Lecture 32 Analysis of the Training and Testing Times for the Classifier and Its Accuracy Ideal for beginner data science and machine learning students,Aspiring data analysts,Aspiring data scientists,Aspiring machine learning engineers,People who want to level-up their career and add value to their company,Anyone who wants to start a career in data science or machine learning DDownload https://ddownload.com/hxhsbnzs3khe/yxusj.Udemy.-.Linear.Algebra.and.Feature.Selection.in.Python.rar RapidGator https://rapidgator.net/file/2fe15eddb89cfbe9ffc04f725f1a0208/yxusj.Udemy.-.Linear.Algebra.and.Feature.Selection.in.Python.rar NitroFlare https://nitroflare.com/view/4302DE9050707F7/yxusj.Udemy.-.Linear.Algebra.and.Feature.Selection.in.Python.rar

Api Gateway Fundamentals: A Beginner'S Guide To Api Manageme Published 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 319.48 MB | Duration: 1h 25m Learn the Basics of API Gateways, Routing, Security, and Best Practices for API Management What you'll learn Understand the role of API Gateways in modern integration solutions. Evaluate and recommend API Gateway solutions based on business needs. Develop, deploy, and maintain integration services using API Gateways. Gain practical experience with API Gateway tools and real-world challenges. Requirements Familiarity with programming languages like JavaScript, Python, or Java. Basic concepts of networking (DNS, HTTP, HTTPS, etc.). Description This course is perfect for beginners who want to dive into the world of API Gateways and understand their critical role in modern software architectures. As APIs continue to power applications and services, mastering how to manage, secure, and scale them is essential for any developer or IT professional.In this course, you'll explore core concepts that will help you get comfortable with API Gateways, their functionalities, and how they interact with backend services. You'll learn how API Gateways streamline tasks like routing, load balancing, security, and traffic management while ensuring performance, scalability, and reliability.What You'll Learn:What is an API Gateway? Gain a clear understanding of its purpose in handling communication between clients and services in microservices architecture.Routing & Load Balancing: Understand how API Gateways direct requests efficiently and distribute traffic across multiple servers.API Security: Discover methods for authenticating and authorizing users and services with OAuth 2.0, JWT, and API keys to ensure secure access.Rate Limiting & Throttling: Learn to implement techniques that control the rate of requests to your API, preventing overloads and ensuring fair usage.Best Practices: Learn design strategies for building APIs that are scalable, secure, and easy to maintain.Monitoring & Logging: Understand how to track API performance, log activity, and troubleshoot common issues for smooth operation.This course will also touch on how to integrate API Gateways into your CI/CD pipelines, automate deployments, and ensure your APIs are always up-to-date and working efficiently. Whether you're building a small application or managing large-scale enterprise services, this course will provide you with the knowledge and tools you need.By the end of this course, you'll be equipped to confidently design, deploy, and manage APIs with an API Gateway, applying industry-standard techniques to secure, scale, and optimize your APIs. Start your journey to mastering API management and building high-performing, secure, and scalable APIs today! Overview Section 1: Introduction to API Gateway Lecture 1 Introduction Lecture 2 What is an API Gateway ? Lecture 3 API Gateway Architecture Lecture 4 Important Key Feature of API Gateways Lecture 5 Introduction to API Gateway and Its Architecture Section 2: Core Concepts of API Gateways Lecture 6 Routing Lecture 7 Load Balancing Lecture 8 API Aggregation Lecture 9 Rate Limiting Lecture 10 Summary Section 3: Security and Authentication Lecture 11 Authentication Lecture 12 Authorization Lecture 13 Threat Protection Lecture 14 Summary: Authentication, Authorization, and Threat Protection Section 4: Advanced API Gateway Features Lecture 15 API Versioning Lecture 16 Caching Lecture 17 Performance Optimization Lecture 18 Logging and Monitoring Lecture 19 Summary Section 5: Summary Lecture 20 Designing Scalable and Resilient APIs Lecture 21 Future of API Gateways Software Developers looking to enhance their skills in API design and integration.,Backend Developers working on microservices or cloud-native applications.,Cloud Engineers managing API Gateway services on platforms like AWS, Azure, or GCP.,Integration Architects designing scalable integration solutions.,IT Consultants recommending API management tools for businesses.,Beginners in API Management who want to build foundational knowledge of API gateways.,Enterprises aiming to modernize their integration strategies with API gateways. DDownload https://ddownload.com/fhkr9kh6ctp1/yxusj..-.API.Gateway.Fundamentals.A.Beginners.Guide.to.API.Manageme.rar RapidGator https://rapidgator.net/file/e072dade0fdea3553112be6d47630372/yxusj..-.API.Gateway.Fundamentals.A.Beginners.Guide.to.API.Manageme.rar NitroFlare https://nitroflare.com/view/C64DDDA8E926040/yxusj..-.API.Gateway.Fundamentals.A.Beginners.Guide.to.API.Manageme.rar

Chatgpt Coding Express: Fast-Track Coding With Chatgpt Published 9/2023 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 479.84 MB | Duration: 1h 4m Your Complete Coding Guide to Harnessing ChatGPT's Power What you'll learn An understanding of ChatGPT's background, functionality, and position in the AI chatbot realm. Installing necessary tools and software to optimize their ChatGPT experience. Basics of how JavaScript interacts with ChatGPT to create dynamic applications. Building a basic game and advanced projects like a timer and Tic-Tac-Toe using JavaScript and ChatGPT. Creating interactive components using ChatGPT and managing routes in a React JS application. Designing a functional OTP password generator and an intelligent chatbot. Aggregating and plotting timeseries data, learning how to derive insights from data through visual representation. Requirements Basic Understanding of Programming A Computer with Internet Access Willingness to Learn and Experiment Optional: Experience with C++ or Any Object-Oriented Language Description Dive deep into the world of AI with our ChatGPT Coding Masterclass. Whether you're new to coding or seeking to expand your skillset in a unique direction, this course will guide you step by step, ensuring that you become proficient in leveraging the potential of ChatGPT across multiple programming languages.Course Highlights:A Comprehensive Introduction: Familiarize yourself with the inner workings of ChatGPT, its advantages and disadvantages in the realm of AI chatbots, and how it compares to other chatbots available in the market.Smooth Onboarding: Get up and running quickly with guided instructions on account setup, essential installations, and writing your first ChatGPT command.Gaming with Javascript and ChatGPT: Unearth the symbiotic relationship between JavaScript and ChatGPT. Craft engaging games such as timers and Tic-Tac-Toe, all powered by the intelligence of ChatGPT.Expand Your Web Development Skills: Dive into the React.JS ecosystem. From initial installations to understanding components in ChatGPT and mastering routing, this section melds the worlds of modern web development with conversational AI.Conversational Coding with C++: For those looking to venture into more traditional coding paradigms, the course provides a robust introduction to C++ in tandem with ChatGPT. Create intriguing applications like a guess-the-number game while honing your C++ skills.Advanced Bot Functions and Data Visualization: Go beyond chat and dive into practical, real-world applications. Develop an OTP password generator, visualize data with histograms, and work with aggregate and timeseries data plots-all while harnessing the power of ChatGPT.Concluding with valuable bonus content, this masterclass is not just a course but a comprehensive journey, transforming you from a curious learner to a ChatGPT coding maestro.This course, with its blend of foundational knowledge, practical applications, and forward-thinking integrations, is designed to appeal to a broad audience. Whether you're a seasoned developer or someone just dipping their toes into the coding world, there's something in this masterclass for you!Join us in this coding adventure and push the boundaries of what's possible in the intersection of coding and conversational AI. Overview Section 1: Introduction Lecture 1 Introduction to ChatGPT Lecture 2 How ChatGPT works? Lecture 3 AI chatbots: Advantages and Disadvantages Lecture 4 Other Chatbots Lecture 5 What you need to know Lecture 6 What will you learn? Section 2: Account Setup and Installation Lecture 7 How to Create a ChatGPT Account and a First Command Lecture 8 Important installations Section 3: Building games in Javascript using ChatGPT Lecture 9 JavaScript with chatGPT Lecture 10 First Game using JavaScript Lecture 11 Timer in ChatGPT: Part 1 Lecture 12 Timer in ChatGPT: Part 2 Lecture 13 Tic-Tac-Toe game Section 4: React.JS with ChatGPT Lecture 14 Debugging and bubble sort Lecture 15 React.JS installation Lecture 16 Node.JS and NPM Lecture 17 How to create components in ChatGPT Lecture 18 React.JS Routing Section 5: C++ with ChatGPT Lecture 19 First Program in C++ & installation Lecture 20 Program Execution Lecture 21 Create a guess number game in C++ using ChatGPT Section 6: Building Chatbot, OTP password generator, Histogram, Aggregate and Plot timeseri Lecture 22 OTP generator and Chatbot Lecture 23 Histogram and descriptive statistics Lecture 24 Aggregate and Plot timeseries Data Section 7: Conclusion Lecture 25 Final lecture Budding Programmers: Individuals looking to expand their coding horizons, especially in the realm of conversational AI, will find this course invaluable. It provides a unique blend of traditional coding paradigms with the cutting-edge world of chatbots.,JavaScript Developers: Developers already versed in JavaScript but looking to explore the intersection of gaming and AI-driven conversations will gain hands-on experience and new project ideas from this course.,Web Developers: Those familiar with web development, especially React JS, will benefit from sections teaching integration of ChatGPT with modern web applications.,Tech Enthusiasts: Anyone curious about the recent surge in AI, chatbots, and their practical applications will get a comprehensive overview and hands-on skills from this masterclass.,Data Visualization and Analysis Beginners: Individuals interested in data presentation, from histograms to timeseries plotting, will learn how to leverage ChatGPT for these tasks.,Educators and Trainers: Professionals who teach programming or AI concepts can gain new perspectives, tools, and methodologies to incorporate into their curricula or training modules.,Entrepreneurs and Innovators: Those looking to integrate chatbot functionality into their startups or business solutions can get a deep dive into what's possible with ChatGPT.,Students: College or university students majoring in computer science, information technology, or related fields might find this course a valuable supplement to their academic coursework, giving them a practical edge.,Hobbyists: Individuals who enjoy tinkering with new technologies, building games, or just exploring the world of coding in their free time will find the course engaging and rewarding. 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Complete Data Analyst Bootcamp From Basics To Advanced Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 33.51 GB | Duration: 50h 51m Master Data Analysis: Python, Statistics, EDA, Feature Engineering, Power BI, and SQL Server in Comprehensive Bootcamp What you'll learn Learn how to efficiently manipulate, analyze, and visualize data using Python and its powerful libraries such as Pandas, NumPy, Matplotlib, and Seaborn. Develop the skills to retrieve, manipulate, and aggregate data using SQL. You'll work with SQL Server to manage complex databases and execute advanced queries. Discover how to perform EDA to uncover insights, identify patterns, and prepare data for further analysis through effective data visualization Learn to build interactive and insightful dashboards using Power BI, applying DAX for complex calculations, and integrating real-world data to produce reports Requirements A basic understanding of how to navigate your computer, including installing software and managing files, is essential. Some experience with spreadsheet software like Microsoft Excel or Google Sheets will be helpful, as it will give you a foundation for data manipulation and basic analysis concepts This course starts from the basics of Python, so no prior programming knowledge is necessary. However, a willingness to learn coding is important. An eagerness to explore data, solve problems, and develop new skills is key to getting the most out of this bootcamp. Description Are you ready to embark on a rewarding career as a Data Analyst? Whether you're a beginner or an experienced professional looking to enhance your skills, this Complete Data Analyst Bootcamp is your one-stop solution. This course is meticulously designed to equip you with all the essential tools and techniques needed to excel in the field of data analysis.What You Will Learn:Python Programming for Data AnalysisDive into Python, the most popular programming language in data science. You'll learn the basics, including data types, control structures, and how to manipulate data with powerful libraries like Pandas and NumPy. By the end of this module, you'll be able to perform complex data manipulations and basic analyses with ease.Statistics for Data ScienceUnderstanding the language of data requires a solid foundation in statistics. This course will take you through the key concepts such as descriptive statistics, probability, hypothesis testing, and inferential statistics. You'll gain the confidence to make data-driven decisions and interpret statistical results accurately.Feature Engineering and Data PreprocessingData preparation is critical for successful analysis. This module covers all aspects of feature engineering, from handling missing data and encoding categorical variables to feature scaling and selection. Learn how to transform raw data into meaningful features that improve model performance and analysis outcomes.Exploratory Data Analysis (EDA)Before diving into data modeling, it's crucial to understand your data. EDA is the process of analyzing data sets to summarize their main characteristics, often with visual methods. You'll learn how to identify trends, patterns, and outliers using visualization tools like Matplotlib and Seaborn. This step is essential for uncovering insights and ensuring data quality.SQL for Data AnalystsSQL (Structured Query Language) is the backbone of database management and a must-have skill for any data analyst. This course will guide you from the basics of SQL to advanced querying techniques. You'll learn how to retrieve, manipulate, and aggregate data efficiently using SQL Server, enabling you to work with large datasets and perform sophisticated data analysis.Power BI for Data Visualization and ReportingData visualization is key to communicating your findings effectively. In this module, you'll master Power BI, a leading business intelligence tool. You'll learn how to create compelling dashboards, perform data transformations, and use DAX (Data Analysis Expressions) for complex calculations. The course also includes real-world reporting projects, allowing you to apply your skills and create professional-grade reports.Real-World Capstone ProjectsPut your knowledge to the test with hands-on capstone projects. You'll work on real-world datasets to perform end-to-end data analysis, from data cleaning and EDA to creating insightful visualizations and reports in Power BI. These projects are designed to simulate actual industry challenges, giving you practical experience that you can showcase in your portfolio.Who Should Enroll:Aspiring data analysts looking to build a comprehensive skill set from scratch.Professionals seeking to switch careers into data analysis.Data enthusiasts who want to gain hands-on experience with Python, SQL, and Power BI.Students and recent graduates aiming to enhance their job prospects in the data science industry.Why This Course?Comprehensive Curriculum: Covers everything from Python programming and statistics to SQL and Power BI, making you job-ready.Hands-On Learning: Work on real-world projects that mirror the challenges you'll face in the industry.Industry-Relevant Tools: Learn the most in-demand tools and technologies, including Python, SQL Server, and Power BI.Career Support: Gain access to valuable resources and guidance to help you kickstart or advance your career as a data analyst.Conclusion:By the end of this course, you'll have a strong foundation in data analysis and the confidence to tackle real-world data problems. You'll be ready to step into a data analyst role with a robust portfolio of projects to showcase your skills.Enroll now and start your journey to becoming a proficient Data Analyst! Overview Section 1: Introduction To The Course Lecture 1 What Does A Data Analyst Do and Its Roadmap Section 2: Getting Started With Python Lecture 2 Getting Started With Google Colab Lecture 3 Installation Of Anaconda And Visual Studio Code Section 3: Complete Python With Important Libraries Lecture 4 Getting Started With VS Code With Environments Lecture 5 Python Basics-Syntax And Semantics Lecture 6 Variables In Python Lecture 7 Basic Data Types In Python Lecture 8 Operators In Python Lecture 9 Coding Excercise And Assignments Lecture 10 Conditional Statements(if,elif,else) Lecture 11 Loops In Python Lecture 12 Coding Excercise And Assignments Lecture 13 List And List Comprehrension In Python Lecture 14 List Practise Code And assignments Lecture 15 Tuples In Python Lecture 16 Tuple Assignment And Practise Code Lecture 17 Sets In Python Lecture 18 Sets Assignment and Practise Code Lecture 19 Dictionaries In Python Lecture 20 Dictionaries Assignments and PRactise Questions Lecture 21 REal World Usecases Of List Lecture 22 Getting Started With Functions Lecture 23 More Coding Examples With Functions Lecture 24 Lambda functions Lecture 25 Map functions In Python Lecture 26 Filter Function In Python Lecture 27 Function Assignments With Solution Lecture 28 Import Modules And Packages In Python Lecture 29 Standard Library Overview Lecture 30 File Operation In Python Lecture 31 Working With File Paths Lecture 32 Exception Handling With Try Except else finally blocks Section 4: Data Analysis With Python Lecture 33 Numpy In Python Lecture 34 Pandas-DataFrame And Series Lecture 35 Data Manipulation With Pandas And Numpy Lecture 36 Numpy Assignments With solution Lecture 37 Reading Data From Various Data Source Using Pandas Lecture 38 Data Visulaization With Matplotlib Lecture 39 Data Visualization With Seaborn Section 5: Getting Started With Statistics Lecture 40 Introduction To Statistics Lecture 41 Types Of Statistics Lecture 42 Population And Sample Data Lecture 43 Types Of Sampling Techniques Lecture 44 Types Of Data Lecture 45 Scales Of Measurement Of Data Section 6: Descriptive Statistics Lecture 46 Measure Of Central Tendency(Mean,Median And Mode) Lecture 47 Measures Of Dispersion(Range,Variance,Standard Deviation) Lecture 48 Why Sample Variance is divided by n-1 Lecture 49 Random Variables Lecture 50 Percentiles And Quartiles Lecture 51 5 Number Summary Lecture 52 Histogram And Skewness Lecture 53 Covariance And Correlation Section 7: Probability Distribution Function And Types OF Distribution Lecture 54 Pdf, PMF, CDF Lecture 55 Types OF Probability Distribution Lecture 56 Bernoulli Distribution Lecture 57 Binomial Distribution Lecture 58 Poisson Distribution Lecture 59 Normal or Gaussian Distribution Lecture 60 Standard Normal Distribution Lecture 61 Uniform Distribution Lecture 62 Log Normal Distribution Lecture 63 10-Power Law Distribution Lecture 64 11-Pareto Distribution Lecture 65 Central Limit Theorem Lecture 66 Estimates Section 8: Inferential Stats And Hypothesis Testing Lecture 67 Hypothesis Testing And Mechanism Lecture 68 P value And Hypothesis Testing Lecture 69 Z test Hypothesis Testing Lecture 70 Student t Distribution Lecture 71 T stats With T Test and Hypothesis Testing Lecture 72 Z test vs T test Lecture 73 Type1 And Type 2 Error Lecture 74 Baye's Theorem Lecture 75 Confidence Interval And Margin Of Error Lecture 76 What is Chi Square Test Lecture 77 Chi Square Goodness Of Fitness Lecture 78 What is Anova Lecture 79 Assumptions Of Anova Lecture 80 Types Of Annova Lecture 81 Partioning OF Annova Section 9: Feature Engineering With Python Lecture 82 Feature Engineering-Handling Missing Data Lecture 83 Feature Engineering-Handling Imbalanced Dataset Lecture 84 Feature Engineering-SMOTE Lecture 85 Handling Outliers With Python Lecture 86 Data Encoding-Nominal/One Hot Encoding Lecture 87 Label And Ordinal Encoding Lecture 88 Target Guided Ordinal Encoding Section 10: Exploratory Data Analysis Lecture 89 Red Wine Dataset EDA Lecture 90 EDA Flight Price Dataset Lecture 91 Part 1-Data Cleaning Google Playstore Dataset Lecture 92 Part 2-EDA Google Play Store Dataset Section 11: SQL : Course Introduction & Overview Lecture 93 SQL Course Introduction Lecture 94 SQL Overview Lecture 95 SQL Server Download & Install Section 12: Microsoft SQL Server basics Lecture 96 SQL Select Statement Lecture 97 SQL Select Distinct Lecture 98 SQL Temp Tables Lecture 99 SQL Where Clause Lecture 100 SQL Order By Clause Lecture 101 SQL AND & OR Operator Lecture 102 SQL NOT, BETWEEN & IN Operators Lecture 103 SQL Insert Into Lecture 104 SQL Null Operator Lecture 105 SQL Update Statement Lecture 106 Delete, Drop & Truncate Lecture 107 SQL Comments & TOP N Lecture 108 SQL MAX & Group BY Lecture 109 SQL MIN Function & Group BY Lecture 110 SUM, AVG, COUNT & Group BY Lecture 111 Group BY Concept Lecture 112 Group BY Example SQL Server Lecture 113 SQL Having Clause Lecture 114 SQL Where & Having Clause Difference Lecture 115 Inner Join Concept Lecture 116 Inner Join Eample Lecture 117 Left Join Concept Lecture 118 Left Join Eample Lecture 119 Right Join Concept Lecture 120 Right Join Example Lecture 121 Left & Right Anti Join Lecture 122 Left & Right Anti Join Example Lecture 123 Full Outer Join Lecture 124 Self Join Lecture 125 Union & Union All Lecture 126 SQL Like Operator Lecture 127 SQL Case in Select statement & Order BY Clause Lecture 128 Nested CASE statement Lecture 129 SQL Data Types Lecture 130 SQL Create Table Lecture 131 Inserting Records into All Columns of the Table Lecture 132 Inserting Records into Certain Columns in a Table Lecture 133 Copying Data From One Table to Another Lecture 134 Sub Queries Lecture 135 Not Null Constraint Lecture 136 Unique Constraint Lecture 137 Check Constraint Lecture 138 Default Constraint Lecture 139 Primary & Foreign Key Concept Lecture 140 Primary Key Constraint Lecture 141 Foreign Key Constraint Section 13: SQL Basics Questions Lecture 142 Questions Set - 1 Lecture 143 Questions Set - 2 Section 14: SQL Assignments Section 15: SQL Functions Lecture 144 Rank, Dense Rank & Row Number Window Functions - 1 Lecture 145 Rank, Dense Rank & Row Number Window Functions - 2 Lecture 146 Window Functions - Lead Function Lecture 147 Window Functions - Lag Function Lecture 148 ISNULL & Coalesce Functions Section 16: Advanced SQL Lecture 149 Common Table Expressions - 1 Lecture 150 Common Table Expressions - 2 Lecture 151 Recursive Common Table Expressions Lecture 152 Stored Procedure in MS SQL Server Lecture 153 Views in MS SQL Server Lecture 154 Indexes in MS SQL Server Section 17: SQL Important Interview Questions Lecture 155 Nth Highest Salary Lecture 156 Reportee & Manager Question Lecture 157 Deleting Duplicates Q1 Lecture 158 Deleting Duplicates Q2 Section 18: Power BI Course Introduction Lecture 159 Microsoft Power BI Course Introduction Section 19: Introduction to Power BI Lecture 160 General Workflow Power BI Lecture 161 Downloading & Installing Power BI Desktop Lecture 162 Creating a Free Power BI Account Section 20: Data Visualization Lecture 163 Creating a Bar Chart Lecture 164 Creating a Column Chart Lecture 165 Creating a Pie & a Donut Chart Lecture 166 Creating a Clustered Column & Bar Chart Lecture 167 Creating a Line & Area Chart Lecture 168 Creating a Ribbon Chart Lecture 169 Creating a line & stacked column chart Lecture 170 Creating a Line & Clustered Column Chart Lecture 171 Creating a Scatter Plot Lecture 172 Creating a Bubble Map Visual Lecture 173 Creating a Table & Matrix Visual Lecture 174 Formatting Table & Matrix Visual Lecture 175 Creating a Funnel Chart Lecture 176 Gauge chart & KPI Visual Lecture 177 AI Visuals in Power BI Section 21: Power Query Editor Lecture 178 Detecting Data Types in Power BI Desktop Lecture 179 Data Profiling Lecture 180 Column Distribution Example Lecture 181 Appending Queries Lecture 182 Merge Inner Join Lecture 183 Left Outer Join Lecture 184 Right Outer Join Lecture 185 Left & Right Anti Join Lecture 186 Full Outer Join Lecture 187 Group By in Power Query Editor Lecture 188 Pivot, Unpivot & Transpose Lecture 189 Add/Transform Columns Section 22: DAX Lecture 190 DAX Lecture 1 Lecture 191 DAX Lecture 2 Lecture 192 DAX Lecture 3 Lecture 193 DAX Lecture 4 Lecture 194 DAX Lecture 5 Lecture 195 DAX Lecture 6 Section 23: Power BI Project 1, Sales Data Analysis Lecture 196 Business Requirements Lecture 197 Loading Data to PBI Desktop Lecture 198 Data Profiling & Data Transformations Part 1 Lecture 199 Data Transformations Part 2 Lecture 200 Primary & Foreign Key Lecture 201 Cardinality Lecture 202 Star Schema Lecture 203 Data Model Overview Lecture 204 Different Types of Filters in Filters Pane Lecture 205 Top Bottom 5 Products By Sales, Quantity and Profit Lecture 206 Sales Trends Over Time Lecture 207 Other Requirements Lecture 208 Requirement 4 DAX Lecture 209 Requirement 4 Edit Interactions Lecture 210 Other Remaining Requirements Lecture 211 Changing Filter Behaviour for Dimension Table Slicers Section 24: Power BI Project 2, Insurance Data Analysis Lecture 212 Downloading & Installing MSSQL Server Lecture 213 Importing Data to MSSQL Server Lecture 214 Loading Data to Power BI Desktop Lecture 215 Table View & Data Profiling Lecture 216 Adding Slicers & Text Lecture 217 Adding New Card Visuals Lecture 218 Adding a Multi Row Card & a Ribbon Chart Lecture 219 Adding a Bar & a Line Chart Lecture 220 Adding a Donut Chart & Matrix Visual Lecture 221 Publishing the Report to Power BI Service Lecture 222 Scheduling Refresh Lecture 223 Drill Through Filter Lecture 224 Testing Scheduled Refresh & Publishing the updated report Lecture 225 Creating & Testing Roles in PBI Desktop Lecture 226 Testing & Implementing RLS in Power BI Service Lecture 227 Power BI Reports & Dashboards Lecture 228 Sentiment Analysis Power Query Lecture 229 Sentiment Analysis Adding Visuals to the Report Section 25: Power BI Project 3, UPI Transactions Data Analysis Lecture 230 Loading Data into Power BI Desktop Lecture 231 Data Profiling Lecture 232 Size & Position of slicers Lecture 233 Formatting the Slicers Lecture 234 Adding a Page & Age Group Column Lecture 235 Adding a Line Chart Lecture 236 Adding a Matrix Visual Lecture 237 Syncing Slicers & Applying Conditional Formatting Lecture 238 Adding Bookmarks for Transactions Lecture 239 Adding Bookmarks for Remaining Balance Lecture 240 Publishing the Report to Power BI Service Individuals looking to start a career in data analysis and gain a comprehensive skill set from the ground up.,Professionals from other fields who want to transition into data analysis and need a structured, all-inclusive learning path.,Those pursuing degrees in fields like computer science, statistics, business, or related areas who want to enhance their job prospects with practical, industry-relevant skills.,Anyone with an interest in data, who wants to learn how to analyze, visualize, and make data-driven decisions, whether for professional development or personal projects.,Individuals already in the data industry or related fields who wish to sharpen their skills, learn new tools like Python, SQL, and Power BI, and take on more advanced data analysis tasks. DDownload https://ddownload.com/isg8fy1khp7z/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part1.rar https://ddownload.com/v0lw0booodrv/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part2.rar https://ddownload.com/dnht6zcdlwia/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part3.rar https://ddownload.com/8m1w4kp4m39w/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part4.rar https://ddownload.com/l04tu7j4qgh3/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part5.rar https://ddownload.com/rigprms1wc4n/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part6.rar https://ddownload.com/u3m57exdoiba/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part7.rar RapidGator https://rapidgator.net/file/7203ccd57791d8fb278ff3e03dd3ab31/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part1.rar https://rapidgator.net/file/cc4b2a68798d2a19beb85d4e8a6eb3d7/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part2.rar https://rapidgator.net/file/144afd8650e4764cb2a86ee52f02998d/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part3.rar https://rapidgator.net/file/7201aa94ed2e54a5e4487e152e300bbc/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part4.rar https://rapidgator.net/file/39991217cd443a281987531360812578/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part5.rar https://rapidgator.net/file/c8b813d45012d6ca8e98d10b5f5ea719/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part6.rar https://rapidgator.net/file/9c0e0a2e2d94cc88dc7d592e6d98e6f3/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part7.rar NitroFlare https://nitroflare.com/view/C00F0F0157DB013/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part1.rar https://nitroflare.com/view/C6B52BC6CAF0195/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part2.rar https://nitroflare.com/view/A121F1D81A63647/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part3.rar https://nitroflare.com/view/DD12EB88CF03229/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part4.rar https://nitroflare.com/view/863C627DC9F19E6/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part5.rar https://nitroflare.com/view/B23E5BA41FE79D7/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part6.rar https://nitroflare.com/view/2B24E7F64F41095/yxusj.Udemy_The_Complete_Data_Analyst_Bootcamp_From_Basics_To_Advanced.part7.rar

Playwright JS/TS Automation Testing from Scratch & Framework 2025-02-08 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English (US) | Size: 14.01 GB | Duration: 20h 54m End to End Playwright tutorials on JavaScript & TypeScript. UI Testing, API testing, Page Objects,Cucumber, CI/CD etc What you'll learn Learn JavaScript fundamentals required for Playwright Automation testing Understand the Web Automation with Playwright on Live Applications Comprehensive knowledge on all Playwright Methods and their usage with examples Learn How to make API calls with in UI Automation tests to perform smart automation Understand how to Intercept Network/API requests & responses with Playwright Get Familiar with Playwright Inspector tool, Trace Viewer & Code Gen (Record Playback) tools Develop Playwright cucumber BDD Framework from Scratch with best practices Develop End to end Mocha Framework with Playwright utilizing all the features available in the tool Understand visual testing, mobile device emulation & test execution in CI/CD Docker container Requirements No Programming experience required. JavaScript basics are fully taught in the course in a dedicated section Description **Course last updated on Jan 2nd 2025 with Coding Interview exercises**Welcome to the comprehensive Playwright course that covers everything from the basics to frameworks, including JavaScript fundamentals without need of any prior JavaScript experience.This course is entirely practical. We will use a fully functional e-commerce application for testing and learn how to automate every scenario of the application, including dynamic components often used in modern React and Angular applications.We will also explore how to perform API testing to create data within the application using Playwright.The course will show you how to conduct end-to-end functional testing, which includes both UI testing and API testing in a single script. This script creates data, tests scenarios, and deletes the data.Advanced topics are discussed, such as grabbing session cookies using APIs and responses to bypass the UI login screen for faster and more reliable execution.Everything is possible with Playwright, and this course demonstrates a systematic way to handle complex e-commerce applications with strategically designed automated test cases.The course covers two powerful frameworks for designing test cases:Playwright Cucumber BDD FrameworkPlaywright with MochaThese two frameworks are built on top of page object design patterned tests, which take data from external sources and use custom utility methods to produce outstanding HTML reports.Finally, the complete framework will be integrated with CI/CD Jenkins and use Docker containers to run the tests.It's important to note that Playwright has powerful logging capabilities, including screenshots, videos, and built-in features called Playwright Inspector and Traces for a detailed view of post-execution. These features are demonstrated with live demos throughout the course.In conclusion, this course is a one-stop shop for you to become a Playwright hero and take charge of modern, full end-to-end test automation.Note : We are using JavaScript language binding to build Playwright Automation tests. (Js is mainly picked language for Playwright)For Beginners, there is 3 hours Javascript video in the last section of this course which covers all JS basics from Scratch including coding Assignments and quizzes which prepares candidates for Interviews.Course Structure Breakdown:Playwright Web/UI Automation (50%) - Master core Playwright concepts for comprehensive UI automation.Mixed Web & API Testing with Network Mocking (25%) - Expand your skills by combining UI and API testing with network mocking capabilities.Playwright Advanced Framework Features (25%) - Dive deep into advanced Playwright frameworks for optimal test design.Optional: JavaScript Basics for Beginners (3 hrs) - Build a solid JavaScript foundation for confident Playwright exploration.Become a Playwright hero and embrace the future of end-to-end test automation. Enroll today! Who this course is for: Automation testers, QA, Developers For More Courses Visit & Bookmark Your Preferred Language Blog From Here: English - Français - Italiano - Deutsch - Español - Português - Polski - Türkçe - Русский RapidGator https://rapidgator.net/file/613f9d47eb2d3b624d959f0fd1220bf4/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part01.rar https://rapidgator.net/file/58e76ce052170dca45b6a12415f9c709/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part02.rar https://rapidgator.net/file/72fbb4de15507915f397a644ef55467e/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part03.rar https://rapidgator.net/file/b6ce542d519b5c68e7cc29e0bce55df9/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part04.rar https://rapidgator.net/file/b2feee6e1d9e33fbb37ab2662a0cf816/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part05.rar https://rapidgator.net/file/b29b85346bfb2a215ba78b536252b653/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part06.rar https://rapidgator.net/file/1f14a38d115af133e215749256c7bd88/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part07.rar https://rapidgator.net/file/0d4a18a89fb1eb5592b399af0d79a10c/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part08.rar https://rapidgator.net/file/f3c991c010e7c52592e3adaa86093c10/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part09.rar https://rapidgator.net/file/c5e9959f81dbe25bd5f9a3dda7536435/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part10.rar NitroFlare https://nitroflare.com/view/38F2061BE4F3DAF/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part01.rar https://nitroflare.com/view/9A3956125BF61DC/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part02.rar https://nitroflare.com/view/C354D51E70FC504/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part03.rar https://nitroflare.com/view/D2B2F509E174C39/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part04.rar https://nitroflare.com/view/6E4AD5B78E75C10/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part05.rar https://nitroflare.com/view/6236293FF7F933D/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part06.rar https://nitroflare.com/view/4D9C603746F9961/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part07.rar https://nitroflare.com/view/073BDA04AF158E5/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part08.rar https://nitroflare.com/view/BAFBA8334954120/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part09.rar https://nitroflare.com/view/69D6ACEFE35DFB2/yxusj.Playwright.JS.TS.Automation.Testing.from.Scratch..Framework.part10.rar

Complete Generative Ai : Build Pro Web, Mobile & Saas Apps Published 11/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 7.86 GB | Duration: 7h 56m Build Generative AI SaaS Apps with ChatGPT, MongoDB, Firebase, Stripe, and More - No Coding Skills Required! What you'll learn Master the Fundamentals of Generative AI Development Understand how Generative AI works and how to use it to create cutting-edge applications. Learn to craft effective ChatGPT prompts to streamline coding, debugging, and problem-solving. Gain a solid foundation in AI-powered tools to enhance creativity and productivity in development. Build and Deploy Real-World Projects with AI Create dynamic websites, cross-platform mobile apps, and powerful SaaS platforms using tools like MongoDB, Firebase, Stripe, and more. Develop fully functional projects like a To-Do List App, a SaaS Note-Taking Platform, and Interactive Websites with no prior coding experience required. Learn to Use Free and Accessible Development Tools Gain hands-on experience with free platforms such as Replit, Expo Snack, and GitHub Pages to build, test, and deploy your applications. Explore tools like Firebase for seamless data storage, MongoDB Atlas for scalable databases, and Stripe for payment integration. Understand and Implement Subscription-Based SaaS Models Build and integrate subscription features with payment gateways like Stripe, offering premium features to users. Learn to manage user registration, authentication, and secure data storage to create professional-level SaaS products. Develop Cross-Platform Mobile Applications Use Expo Snack and React Native to build apps that work flawlessly on both Android and iOS devices. Test your apps on real devices without installing additional software and gain skills to deploy them online. Gain Key Web Development Skills Learn the essentials of HTML, CSS, and JavaScript to build responsive, engaging, and interactive websites. Connect your front-end applications to powerful back-end solutions for seamless functionality. Understand how to implement real-world features like e-commerce functionality and chatbots to add value to your applications. Requirements No coding or technical experience required-this course is for everyone. Patience and dedication-building websites, apps, and SaaS platforms with AI is an exciting journey, but it requires time and consistent effort. A computer or a smartphone with an internet connection-no fancy equipment needed! A curiosity to explore AI and its transformative power. A willingness to learn and a mindset to experiment and embrace challenges. Description Generative AI is revolutionizing how we build and innovate. Imagine creating professional-grade websites, mobile apps, and SaaS platforms-all without writing a single line of code. Sounds exciting, right? Welcome to Complete Generative AI: Build Pro Web, Mobile & SaaS Apps, the ultimate course to help you unlock the full potential of AI tools for development.Tools You'll Master:This course uses free tools that are accessible to everyone:ChatGPT for generating code, content, and solving problems.Firebase for hosting, databases, and authentication.MongoDB Atlas for scalable database management.Stripe for integrating payment gateways.Expo Snack for building and testing mobile apps.GitHub for deploying your websites and collaborating.And much more!What You'll Learn:Section 1: IntroductionAn overview of what this course offers, why it's unique, and how to navigate it.Section 2: Getting Started with AI for DevelopmentMaster the basics of Generative AI, Machine Learning, and Natural Language Processing. Learn how to use ChatGPT to brainstorm ideas, write code, and troubleshoot.Section 3: Fundamentals of Web DevelopmentStart your journey by building and deploying responsive websites using HTML, CSS, and JavaScript. Learn how websites work, from structure to interactivity.Section 4: Building Interactive WebsitesTake your web development skills to the next level. Connect your websites to real-world databases like Firebase, and create dynamic, interactive web apps.Section 5: Mobile App Development with AICreate mobile apps for iOS and Android using Expo Snack and React Native. Test your apps online without installing any software.Section 6: Building SaaS Applications Using AILearn how to create a SaaS platform with user authentication, subscription management, and core features like note-taking. Integrate payment systems with Stripe and connect to MongoDB databases.Why You Should Enroll:This course is more than just skills-it's your key to the future.Alert: Missing out on this course means missing out on the hottest trend in tech. Generative AI is the future, and this course gives you a front-row seat.Practical Learning: Build real-world projects you can showcase in your portfolio.Monetization Opportunities: Learn to create SaaS apps and start earning with subscription-based models.Who This Course is For:Beginners: No prior experience? No problem! This course simplifies everything for you.Professionals: Enhance your skill set and build cutting-edge projects.Entrepreneurs: Start your own SaaS platform or mobile app without hiring developers.AI Enthusiasts: Dive into the world of Generative AI and discover its limitless possibilities.By the end of this course, you'll not only have the skills to build, deploy, and monetize AI-powered applications but also the confidence to innovate independently. With Generative AI as your co-pilot, you're set to revolutionize the way applications are built.So what are you waiting for? Enroll now and take the first step toward becoming a Generative AI Developer. Overview Section 1: Introduction Lecture 1 Introduction Section 2: Getting Started with AI for Development Lecture 2 2.1 What is AI and How Can It Help You Create Applications? Lecture 3 2.2 Basic introduction to AI, machine learning, and natural language processing Lecture 4 2.3 Overview of Free, Online AI-Driven Development Tools that we will use Lecture 5 2.4 How to use AI tools to write code, generate ideas, and solve problems online Section 3: Fundamentals of Web Development Lecture 6 3.1 [Part A] Basics of Web Development Lecture 7 3.1 [Part B] Basics of Web Development Lecture 8 3.2 [Part A] What are websites and how do they work? Lecture 9 3.2 [ Part B] What are websites and how do they work? Lecture 10 3.3 Step:1 Setting Up Your Workspace and Step:2 Building the Structure with HTML Lecture 11 3.4 Step 3 Making It Look Good with CSS Lecture 12 3.5 Step 4 Adding a Little Interactivity with JavaScript.mp4 Lecture 13 3.6 Step 5 Putting It Online with GitHub Pages.mp4 Section 4: Building Interactive Websites Lecture 14 4.1 Introduction to Dynamic Web Development Lecture 15 4.2 Lecture 16 4.3 Lecture 17 4.4 How do they work Lecture 18 4.5 how does data flow Lecture 19 4.4 What you will learn? [The ultimeate practical intro] Lecture 20 4.5 Project Step-1 to Step-4 Lecture 21 4.6 03 step 4 continue and then step 5.mp4 Lecture 22 4.7 04 step 6 and 7 aong with troubleshooting Lecture 23 4.8 05 quick final thoughts and recap Lecture 24 4.4.1 Intro to server side Lecture 25 4.4.06 how to build your server from scratch Lecture 26 4.4.07 Learn how to display Dynamic Content Lecture 27 4.4.08 Learn how to add more routes/APIs Lecture 28 4.4.09 [OPTIONAL] learn to clean your code Lecture 29 4.5.1 connecting front end to data base Lecture 30 4.5.10 Make your app with fire base step 1 to step 4 Lecture 31 4.5.11 Till step 7 Lecture 32 4.5.12 till step number 8 and it worked Lecture 33 4.5.13 Projects final thought Lecture 34 4.6.14 Step 1 to 3 mid way but very important learn how to Prompt Lecture 35 4.6.15 till last step where we clicked run but waiting to see if it works Lecture 36 4.6.16 brilliant hardcore troubleshoot Lecture 37 4.6.17 finally its done Section 5: Mobile App Development with AI Lecture 38 5.1 Section intro and what you will learn Lecture 39 5.2 What are mobile apps Lecture 40 5.1.10 Intro to Snack Expo Lecture 41 5.1.11 Basic Click Counter App and understand how to use Snack Expo Lecture 42 5.5 Learn how to Develop Cross Platform Appplications Lecture 43 5.1.12 Its time to install expo CLI and learn to troubleshoot Lecture 44 5.1.13 Install VS and learn how to start Expo on via CLI Lecture 45 5.1.14 testing the app in expo go Lecture 46 5.1.15 attempt to get app [Part-1] Lecture 47 5.1.16 attempt to get app [Part-2] Lecture 48 5.1.17 finally built an apk and installed in phone Section 6: Building SaaS Application Using AI Lecture 49 6.1.1 step 2 and step 3 setting up the project Lecture 50 6.1.2 learn to craft effective prompts Lecture 51 6.1.3 learn how to connect to MongoDB successfully Lecture 52 6.1.4 done till auth login and auth register Lecture 53 6.1.5 learn how to install and use postman as your backend Lecture 54 6.1.6 Learn how to add subscription feature using Stripe Lecture 55 6.1.7 learn how to add subscription feature using Stripe part 2 Lecture 56 6.1.8 step 5 learn how to build the note taking features Lecture 57 6.1.9 learn how to successfully configure the Authentication Middleware Lecture 58 6.20 perform all the functionality of CRUD successfully Lecture 59 6.21 its time to setup our front end that is the dashboard Lecture 60 6.22 successfully logged in in our note dashboard after lots of troubleshoot Lecture 61 6.23 more debugging and undderstanding what features to add further to enhance Lecture 62 6.24 logout functionality added with lots of debugs and learnings This course is for anyone and everyone looking to dive into the world of Generative AI, development, and innovation-whether you're starting fresh or already have experience under your belt.,Curious about AI but don't know where to start? This course will guide you step-by-step, no prior coding or tech skills required.,If you've always wanted to build websites, mobile apps, or SaaS platforms but felt intimidated, this course will make it approachable, fun, and achievable!,Students eager to explore cutting-edge technologies like Generative AI, Firebase, MongoDB, and Stripe to enhance their portfolios and future-proof their careers.,Hobbyists passionate about building their own projects, whether it's a personal portfolio, a note-taking app, or even a SaaS business idea.,Software developers, designers, and tech professionals looking to expand their skills in Generative AI-powered development.,Freelancers aiming to offer high-value services by integrating AI tools into client projects, boosting productivity, and delivering innovative solutions.,Aspiring entrepreneurs wanting to launch their own SaaS startup, build e-commerce solutions, or develop apps with a competitive edge in the market.,Innovators exploring ways to monetize Generative AI by creating projects that solve real-world problems and generate revenue.,Teams aiming to upskill and integrate AI technologies into their workflows, increasing efficiency and collaboration.,Organizations seeking to empower employees to take initiative, troubleshoot, and independently build tech solutions without relying heavily on external resources.,Whether you want to build a side hustle, upskill for a promotion, or start your own tech journey, this course is designed to equip you with real-world skills.,You'll gain hands-on experience with free tools, learn to craft effective ChatGPT prompts, and master the art of building AI-powered solutions from scratch. 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CompTIA Linux+ (XK0-005) Complete Course & Exam Last updated 7/2023 Duration: 20h 54m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 7.5 GB Genre: eLearning | Language: English CompTIA Linux+ (XK0-005) Bootcamp - Your preparation for the CompTIA Linux+ system administration certification! What you'll learn Passing the CompTIA Linux+ certification exam with confidence Configuring and managing software, storage and process and services Understanding the best practices for permissions and authentication, firewalls, and file management Creating simple shell scripts and execute basic BASH scripts, version control using Git, and understanding orchestration processes Analyzing system properties and processes and troubleshooting user, application and hardware issues Requirements Basic familiarity with computer networks, administration, and security is helpful (But, all required information will be covered during the course) (Helpful, but not required) Completion of the CompTIA A+, Network+, and Security+ certifications Description ** Taught by a Best Selling IT Certification Instructor ** Taught by an expert in information technology and cybersecurity with over 20 years of experience, this course is a fun way to master the fundamentals of Linux system administration. My name is Jason Dion, and I have personally helped over 500,000 students earn their IT certifications , and now I can help you, too! You are going to learn the fundamentals of Linux system administration and how to secure your enterprise servers and support cloud-based servers by gaining experience in the configuration, management, and troubleshooting of Linux servers with lessons, lectures, and video demonstrations to teach you everything you need to know to pass the CompTIA Linux+ certification exam. CompTIA Linux+ (XK0-005) is one of the world's most popular Linux system administration certifications available today! This course is designed to help prepare you for the CompTIA Linux+ (XK0-005) certification exam and covers all four domains of the Linux+ (XK0-005) certification exam: CompTIA Linux+ (XK0-005) : System Management Security Scripting, Containers, & Automation Troubleshooting In this course, you will learn how to configure and manage software, storage, and process and services in a Linux server environment. You will also learn the security best practices for permissions and authentication, firewalls, and file management techniques. During our lessons on scripting, you will learn to create simple shell scripts and how to execute BASH scripts. You will also learn how to conduct version control using Git and how to conduct orchestration and automation. Finally, you will learn how to troubleshoot Linux servers and how to analyze system properties, processes, and how to troubleshoot user, application, and hardware issues. What You Will Receive In The Course: Video lectures with the essential information needed to pass the Linux+ (XK0-005) exam A complete downloadable study guide in PDF format based on the lessons Practice quizzes to ensure mastery of each section of the course A full-length practice exam with multiple choice questions that simulate the real certification exam This course stays current and up-to-date with the latest release of the CompTIA Linux+ exam (XK0-005), and also provides a 30-day money-back guarantee if you are not satisfied with the quality of this course for any reason! What Other Students Are Saying About My CompTIA Certification Courses: I have just completed watching two different instructor courses on the same subject. I must say, Dion's has more information in a better constructed manner. This course is not easy, it is heavy with information and having you sit through shorter videos was the best part. Having watched more than just Dion's, I can say he goes over the content much better. Very glad I chose to watch a second course! (Rutger, 5 stars) I love taking this wonderful course. It's full of important tips and amazing steps in order to pass CompTIA Security+. Thank you, Jason Dion, for making this incredible course! (Paul, 5 stars) It is great course personally i find this course helpfully and very good example that is illustrated by Jamario Kelly. Thank you Dion Jason (Basilio Daniel Cubadjomia, 5 stars) Upon completion of this course, you will earn 21 CEUs towards the renewal of your CompTIA A+, Network+, Security+, Linux+, Cloud+, PenTest+, CySA+, or CASP+ certifications. 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Mastering Polars: High-Performance Data Analysis In Python Published 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.04 GB | Duration: 5h 42m Supercharge Your Data Processing with Polars - The Fastest Alternative to Pandas! What you'll learn Working with larger-than-memory data Pandas Vs Polars over billion data Taking advantage of parallel and optimised analysis with Polars Using Polars expressions for analysis that is easy to read and write Learn strategies to optimize memory usage and processing speed when dealing with massive datasets. Combining data from different datasets using fast joins operations Load data from various sources, including web-based files, CSV, JSON, and Parquet files. Requirements No prior experience is required! This course is designed for beginners, Basic knowledge of Python is good to have, and I'll guide you step by step. All you need is a computer with an internet connection and a willingness to learn." Description Unlock the power of Polars, the next-generation DataFrame library designed for speed, scalability, and efficiency. Whether you're a data scientist, analyst, or engineer, this course will teach you how to leverage Polars to process and analyze large datasets faster than traditional tools like Pandas.Through hands-on projects and real-world datasets, you'll gain a deep understanding of Polars' capabilities, from basic operations to advanced data transformations. By the end of this course, you'll be able to replace Pandas with Polars for high-performance data workflows.In this course, you'll master Polars from scratch-learning how to efficiently manipulate, analyze, and transform large datasets with ease. Whether you're dealing with millions of rows or complex queries, Polars' multi-threaded and lazy execution will supercharge your workflows.What You'll LearnPolars vs. Pandas - Why Polars is faster and how it works under the hoodPolars DataFrames & LazyFrames - Understanding efficient data structuresFiltering, Sorting, and Aggregations - Perform operations at blazing speedGroupBy and Joins - Handle complex data transformations seamlesslyTime Series & String Operations - Work with dates, timestamps, and text dataI/O Operations - Read and write CSV, Parquet, JSON, and morePolars Expressions & SQL-like Queries - Unlock powerful data processing techniquesParallel Processing & Lazy Evaluation - Optimize performance for large datasetsWho This Course Is ForPython users working with large datasetsData analysts & scientists looking for faster alternatives to pandasEngineers working with Big Data or ETL pipelinesAnyone who wants to future-proof their data skills with a high-performance libraryWhy Learn Polars?Blazing-fast performance - 10-100x faster than pandas in many casesBuilt for modern CPUs - Uses multi-threading and Rust-based optimizationsMemory-efficient - Works well even with limited RAMIdeal for Big Data & ETL - Perfect for processing large-scale datasetsBy the end of this course, you'll be confidently using Polars for real-world data analysis, optimizing your workflows, and handling massive datasets like a pro. Overview Section 1: Introduction Lecture 1 Course Overview Lecture 2 Introduction of Polars Lecture 3 Pandas Vs. Polars Lecture 4 Course Materials Section 2: Polars Quckstart Lecture 5 Mac: Installation of Python and Polars Library Lecture 6 Apache Arrow & Polars: Overview Section 3: Data Frames Lecture 7 Create Data Frame using Multiple Methods Lecture 8 Series and Data Frame Objects Lecture 9 Conversion from Pandas or Numpy Section 4: Play with Files Lecture 10 Read Files using Polars Lecture 11 Read JSON Files using Polars Lecture 12 Write Files using Polars Section 5: Select Columns Lecture 13 Select Column Lecture 14 Select 2 Columns Lecture 15 Select Multiple Columns Section 6: Columns Transformation Lecture 16 Add Column: Using Constant Value Lecture 17 Add Column: Multiple Columns at Once Lecture 18 Transform Data Frame Lecture 19 Iterating Data Frame Section 7: Aggregate Functions, and Distinct Lecture 20 Aggregate Functions Lecture 21 Distinct Queries Section 8: Filters or Where Clause Lecture 22 Python Way: Square Brackets Lecture 23 Integer Columns Lecture 24 String Columns Lecture 25 Date Columns Lecture 26 Boolean Columns Section 9: Group By, Case, and Sorting Lecture 27 Group By Examples Lecture 28 Group By with Having Lecture 29 Iterating on Group By Object Lecture 30 Case Conditions Lecture 31 Quantiles & Histogram Lecture 32 Sorting Section 10: Handling Missing Values Lecture 33 Finding Missing Values Lecture 34 Replace Missing Values Section 11: Concatenating & Joins Lecture 35 Vertically & Horizontal Concatenating Data Frames Lecture 36 Join Examples Section 12: Database Lecture 37 Polars with Sqlite & Postgres Section 13: 1+ Billion Records Test Lecture 38 Overview of New York Taxi Data Lecture 39 Billion Records Test: Select Lecture 40 Billion Records Test: Aggregate Functions Lecture 41 Billion Records Test: Distinct Queries Lecture 42 Billion Records Test: Case, When & Otherwise Lecture 43 Billion Records Test: Filters Lecture 44 Billion Records Test: Group By Lecture 45 Billion Records Test: Handling Missing Data Lecture 46 Billion Records Test: Slicing in Polars Section 14: Pandas Vs Polars: On 1+ Billion Records Lecture 47 Pandas Vs. Polars: Select Lecture 48 Pandas Vs. Polars: Aggregate Functions Lecture 49 Pandas Vs. Polars: Distinct Lecture 50 Pandas Vs. Polars: Filters Lecture 51 Pandas Vs. Polars: Group By This course is perfect for beginners who want to learn Polars from scratch. Whether you're a student, a working professional, or simply curious about Polars, this course will provide you with a solid foundation. No prior experience is required! 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2025 Agentic RAG with LangChain and LangGraph - Ollama MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English (US) | Size: 5.18 GB | Duration: 7h 21m Step-by-Step Guide to RAG with LangChain, LangGraph, and Ollama | DeepSeek R1, QWEN, LLAMA, FAISS, Doclings, VectorDB What you'll learn Understand RAG Concepts: Learn the basics of Retrieval-Augmented Generation (RAG) and how it enhances AI systems by combining retrieval and generation. Work with LangChain and LangGraph: Master the use of LangChain and LangGraph to build AI workflows and integrate tools seamlessly. Build Smart RAG Systems: Create intelligent and adaptive RAG systems using techniques like agentic, corrective, adaptive, and self-improving methods. Deploy AI in Production: Gain the skills to deploy RAG-based AI solutions effectively using tools like Streamlit and AWS EC2. Requirements Basic Programming Knowledge: Familiarity with Python is helpful, but beginners can also follow along with practice. Curiosity to Learn: A willingness to explore AI concepts and build hands-on projects is all you need! System Requirements: A computer with internet access and the ability to install Python and required libraries/tools. Description Learn how to build smart AI systems using LangChain, LangGraph, Ollama, and OpenAI! This course will teach you how to create Retrieval-Augmented Generation (RAG) systems step by step. If you are a beginner or have some experience in AI, this course is perfect for you.What You Will Learn:Ollama Setup: Learn how to set up and use Ollama for your AI models.LangChain and LangGraph Basics: Understand these tools and how to use them together.Document Loader (Doclings): Easily load and prepare documents for your AI system.Vector Stores and Retrievals: Use databases to find and retrieve information quickly.Agentic RAG: Build AI systems that can act like smart assistants.Why Take This Course?This course makes complex topics easy to understand. You will practice with real-world examples and build your own AI solutions by the end of the course. You'll also gain hands-on experience with the latest tools in generative AI and become confident in building practical, production-ready applications.Whether you're a student, developer, or tech enthusiast, this course equips you with the skills to bring AI ideas to life. With clear explanations, guided projects, and expert tips, you'll be ready to create innovative AI products that solve real-world problems.Start your journey to creating smarter and more powerful AI systems today! Who this course is for: Beginners in AI: Those who want to explore how AI works and learn step-by-step how to build intelligent systems., Developers and Programmers: Individuals with a basic knowledge of Python who want to dive into RAG (Retrieval-Augmented Generation) and work with tools like LangChain and LangGraph., Data Scientists and ML Enthusiasts: Professionals or students eager to expand their skills in creating smart, adaptive, and production-ready AI solutions., Tech Hobbyists and Curious Learners: Anyone passionate about AI and interested in building innovative systems without prior advanced knowledge. 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Advanced React and Redux Last updated 7/2023 Duration: 20h56m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 6.37 GB Genre: eLearning | Language: English Walkthroughs on advanced React v16.6.3 and Redux v4.0.0 - Authentication, Testing, Middlewares, HOC's, and Deployment What you'll learn Build a scaleable API with authentication using Express, Mongo, and Passport Learn the differences between cookie-based and token-based authentication Figure out what a Higher Order Component and how to use it to write dramatically less code Write Redux middleware from scratch to uncover what is happening behind the scenes with Redux Set up your own testing environment with Jest and Enzyme Realize the power of building composable components Requirements Solid understanding of React Intermediate understanding of Redux; you should have knowledge of reducers, actions, and action creators Description Knowledge of React + Redux is 100% required! If you are familiar with reducers and action creators you will be fine. Course includes content specific to React v16.6.3 and Redux v4.0.1! For React v14, start with the section titled "Testing with React v14" This is the tutorial you've been looking for to take your React and Redux skills to the next level. Authentication with Express/Mongo? Yes! Middleware/Higher Order Components? We got it. Testing with Mocha/Chai? It's here! This course wastes no time diving right into interesting topics, and teaches you the core knowledge you need to deeply understand and build React components and structure applications with Redux. Mastering React and Redux can get you a position in web development or help you build that personal project you've been dreaming of. It's a skill that will put you more in demand in the modern web development industry, especially with the release of Redux and ReactNative. There are dozens of great tutorials online for React and Redux, but none of them teach the challenging, core features of these two fantastic libraries. I created this course to push you beyond "just getting started." Learn how to thoroughly test React and Redux code, including tests for action creators and reducers Get familiar with Higher Order Components. Don't know what they are? No problem, you have been using them without even knowing it! Rewrite a popular Redux Middleware from scratch to handle asynchronous actions Become a master of the trickiest topic in Javascript: authentication. You will write a server with enterprise-grade authentication from scratch that can scale to hundreds of thousands of users. No shortcuts, no dummy data. I have built the course that I would have wanted to take when I was learning React and Redux. A course that explains the concepts and how they're implemented in the best order for you to learn and deeply understand them. Who this course is for: Programmers with experience on React and Redux NOT for programmers with no previous React/Redux experience! More Info DDownload https://ddownload.com/wxuli0xq1fiz/yxusj.Udemy.-.Advanced.React.and.Redux.part1.rar https://ddownload.com/0y0vfcw4ymbo/yxusj.Udemy.-.Advanced.React.and.Redux.part2.rar https://ddownload.com/c5vdzy7xcyru/yxusj.Udemy.-.Advanced.React.and.Redux.part3.rar https://ddownload.com/d4ul1yyodu8v/yxusj.Udemy.-.Advanced.React.and.Redux.part4.rar https://ddownload.com/qhlre0at67mf/yxusj.Udemy.-.Advanced.React.and.Redux.part5.rar https://ddownload.com/av6h705921rz/yxusj.Udemy.-.Advanced.React.and.Redux.part6.rar https://ddownload.com/smiu1adav339/yxusj.Udemy.-.Advanced.React.and.Redux.part7.rar RapidGator https://rapidgator.net/file/7b3536c1d2fbbae12960b65ebe5579c1/yxusj.Udemy.-.Advanced.React.and.Redux.part1.rar https://rapidgator.net/file/b79d602b17c194357c4cbdcd88102a31/yxusj.Udemy.-.Advanced.React.and.Redux.part2.rar https://rapidgator.net/file/0a3d8f2a11fbf6ec4550e7c28a7f29cb/yxusj.Udemy.-.Advanced.React.and.Redux.part3.rar https://rapidgator.net/file/19eaf7198409978c305bf775d43a32bc/yxusj.Udemy.-.Advanced.React.and.Redux.part4.rar https://rapidgator.net/file/d17c7ab874d29d645606a4fed53c235a/yxusj.Udemy.-.Advanced.React.and.Redux.part5.rar https://rapidgator.net/file/e5050be5566ad03265d41a7601bd65ff/yxusj.Udemy.-.Advanced.React.and.Redux.part6.rar https://rapidgator.net/file/9f21511153033d5e3157963abfbf2140/yxusj.Udemy.-.Advanced.React.and.Redux.part7.rar NitroFlare https://nitroflare.com/view/7AA7CBEBA36AF9E/yxusj.Udemy.-.Advanced.React.and.Redux.part1.rar https://nitroflare.com/view/17A739E0F7616F3/yxusj.Udemy.-.Advanced.React.and.Redux.part2.rar https://nitroflare.com/view/5BCFC51E546A5F7/yxusj.Udemy.-.Advanced.React.and.Redux.part3.rar https://nitroflare.com/view/A566BDE9C73C42F/yxusj.Udemy.-.Advanced.React.and.Redux.part4.rar https://nitroflare.com/view/3EAABBC14336BC5/yxusj.Udemy.-.Advanced.React.and.Redux.part5.rar https://nitroflare.com/view/1D90E9305F0307F/yxusj.Udemy.-.Advanced.React.and.Redux.part6.rar https://nitroflare.com/view/CFC2775855357AB/yxusj.Udemy.-.Advanced.React.and.Redux.part7.rar

2.18 GB | 00:57:52 | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : Appendix B Continuous input, discrete output.mp4 (4.26 MB) Appendix B Discrete input, continuous output.mp4 (1.85 MB) Appendix B Discrete input, discrete output.mp4 (1.74 MB) Appendix B Selecting a scale.mp4 (26.17 MB) Appendix E Adding rendering logic.mp4 (1.43 MB) Appendix E A very brief introduction to Svelte.mp4 (5.2 MB) Appendix E Passing props from a parent to a child component.mp4 (2.75 MB) Appendix E Sending information from a child to a parent component.mp4 (1.76 MB) Appendix E Using reactive variables and functions.mp4 (2.77 MB) Chapter 1 An introduction to D3 js.mp4 (43.37 MB) Chapter 1 Data visualization best practices.mp4 (40.37 MB) Chapter 1 Summary.mp4 (2.93 MB) Chapter 10 Accessible visualizations.mp4 (10.98 MB) Chapter 10 Meeting the accessibility standards.mp4 (138.93 MB) Chapter 10 Summary.mp4 (8.04 MB) Chapter 11 Building a circle pack chart.mp4 (43.02 MB) Chapter 11 Building a tree chart.mp4 (24.02 MB) Chapter 11 Building other hierarchical visualizations.mp4 (23.01 MB) Chapter 11 Hierarchical visualizations.mp4 (45.29 MB) Chapter 11 Summary.mp4 (5.68 MB) Chapter 12 Creating an adjacency matrix.mp4 (22.98 MB) Chapter 12 Drawing an arc diagram.mp4 (12.34 MB) Chapter 12 Network visualizations.mp4 (14.3 MB) Chapter 12 Playing with forces.mp4 (68.35 MB) Chapter 12 Summary.mp4 (5.71 MB) Chapter 13 Adding a brushing functionality.mp4 (15.23 MB) Chapter 13 Drawing a map from GeoJSON data.mp4 (54.34 MB) Chapter 13 Drawing a map from TopoJSON data.mp4 (10.81 MB) Chapter 13 Further concepts.mp4 (22.33 MB) Chapter 13 Geospatial information visualizations.mp4 (12.99 MB) Chapter 13 Summary.mp4 (5.94 MB) Chapter 13 Zooming and panning.mp4 (14.44 MB) Chapter 14 Building the project skeleton.mp4 (32.41 MB) Chapter 14 Creating a custom visualization.mp4 (24.97 MB) Chapter 14 Creating radial visualizations.mp4 (53.11 MB) Chapter 14 Exploring the data.mp4 (11.88 MB) Chapter 14 Planning meaningful interactions.mp4 (53.21 MB) Chapter 14 Sketching the layout.mp4 (11.73 MB) Chapter 14 Summary.mp4 (4.59 MB) Chapter 15 A strategy for Canvas interactions.mp4 (32.59 MB) Chapter 15 Mixed-mode rendering.mp4 (20.95 MB) Chapter 15 Rendering basic shapes with Canvas.mp4 (33.95 MB) Chapter 15 Rendering visualizations with Canvas.mp4 (10.87 MB) Chapter 15 Summary.mp4 (4.77 MB) Chapter 2 Adding elements to a selection.mp4 (5.51 MB) Chapter 2 Manipulating the DOM.mp4 (9.95 MB) Chapter 2 Preparing your environment.mp4 (24.54 MB) Chapter 2 Selecting elements.mp4 (8.13 MB) Chapter 2 Setting and modifying attributes.mp4 (13.89 MB) Chapter 2 Setting and modifying styles.mp4 (31.32 MB) Chapter 2 Summary.mp4 (8.08 MB) Chapter 3 Adapting data for the screen.mp4 (28.58 MB) Chapter 3 Adding labels to a chart.mp4 (30.11 MB) Chapter 3 Binding data to DOM elements.mp4 (26.32 MB) Chapter 3 Preparing data.mp4 (27.82 MB) Chapter 3 Summary.mp4 (8.81 MB) Chapter 3 Working with data.mp4 (29.39 MB) Chapter 4 Drawing an area.mp4 (18.61 MB) Chapter 4 Drawing arcs.mp4 (45.61 MB) Chapter 4 Drawing a line chart.mp4 (19.29 MB) Chapter 4 Drawing lines, curves, and arcs.mp4 (50.73 MB) Chapter 4 Summary.mp4 (10.48 MB) Chapter 5 Adding a legend to a project.mp4 (25.52 MB) Chapter 5 Pie and stack layouts.mp4 (51.18 MB) Chapter 5 Stacking shapes.mp4 (71.8 MB) Chapter 5 Summary.mp4 (12.73 MB) Chapter 6 Comparing distributions with violin plots.mp4 (42.17 MB) Chapter 6 Creating a pyramid chart.mp4 (8.7 MB) Chapter 6 Drawing a histogram.mp4 (15.96 MB) Chapter 6 Generating box plots.mp4 (37.2 MB) Chapter 6 Summary.mp4 (8.46 MB) Chapter 6 Visualizing distributions.mp4 (24.44 MB) Chapter 7 Animating the enter, update, and exit selections.mp4 (85.96 MB) Chapter 7 Filtering a visualization.mp4 (38.09 MB) Chapter 7 Interactive visualizations.mp4 (13.63 MB) Chapter 7 Revealing additional information with tooltips.mp4 (38.17 MB) Chapter 7 Summary.mp4 (10.88 MB) Chapter 8 Allowing D3 to control a portion of the DOM.mp4 (23.02 MB) Chapter 8 A reusable approach to SVG containers.mp4 (10.1 MB) Chapter 8 Hybrid approach.mp4 (25.97 MB) Chapter 8 Installing the D3 library in a React project.mp4 (5.95 MB) Chapter 8 Integrating D3 in a frontend framework.mp4 (19.31 MB) Chapter 8 Loading data into a React project.mp4 (14.12 MB) Chapter 8 Summary.mp4 (4.9 MB) Chapter 8 Using D3 as a utility library.mp4 (42.35 MB) Chapter 9 Additional tips.mp4 (25.56 MB) Chapter 9 A responsive dashboard.mp4 (39.19 MB) Chapter 9 A responsive line chart.mp4 (20.07 MB) Chapter 9 Responsive visualizations.mp4 (9.28 MB) Chapter 9 Summary.mp4 (4.31 MB) Chapter 1 The D3 ecosystem What you need to know to get started.mp4 (103.41 MB) Part 1 D3 js fundamentals.mp4 (3.43 MB) Part 2 Meeting the new standards.mp4 (3.18 MB) Part 3 Intricate data visualizations.mp4 (2.89 MB) Part 4 Advanced techniques.mp4 (1.72 MB)] Screenshot RapidGator https://rapidgator.net/file/ebc6e98ca84a6018faf07e572c33a808/Oreilly_D3.js_in_Action_Third_Edition_Video_Edition.part1.rar https://rapidgator.net/file/2d27fb20e4acf499a3f1e8c4e8bd016f/Oreilly_D3.js_in_Action_Third_Edition_Video_Edition.part2.rar https://rapidgator.net/file/1f8dd62490aff07d19ab57e927444fc5/Oreilly_D3.js_in_Action_Third_Edition_Video_Edition.part3.rar NitroFlare https://nitroflare.com/view/FE1CFBD28AFFA80/Oreilly_D3.js_in_Action_Third_Edition_Video_Edition.part1.rar https://nitroflare.com/view/01C2D5C7018059F/Oreilly_D3.js_in_Action_Third_Edition_Video_Edition.part2.rar https://nitroflare.com/view/A0DA12F3FEDE589/Oreilly_D3.js_in_Action_Third_Edition_Video_Edition.part3.rar

540.36 MB | 00:08:04 | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 01 course-introduction.mp4 (12.58 MB) 02 intro-to-kali-linux.mp4 (13.61 MB) 03 kali-linux-installation-and-setup.mp4 (22.17 MB) 01 securing-kali-linux.mp4 (30.03 MB) 04 best-practices-for-securing-your-home-lab.mp4 (33.43 MB) 05 kali-linux-tools-for-system-protection.mp4 (25.68 MB) 01 information-gathering-with-kali-linux.mp4 (32.03 MB) 02 forensics-with-kali-linux.mp4 (28.51 MB) 03 vulnerability-analysis-with-kali-linux.mp4 (31.79 MB) 01 exploitation-with-kali-linux.mp4 (28.99 MB) 02 sniffing-and-spoofing-with-kali-linux.mp4 (26.8 MB) 03 kali-nethunter.mp4 (25.82 MB) 01 overview-of-scripting-and-automation.mp4 (35.9 MB) 02 overview-of-python.mp4 (20.87 MB) 03 writing-and-executing-simple-scripts-with-python.mp4 (19.46 MB) 01 overview-of-bash.mp4 (25.05 MB) 02 writing-and-executing-simple-scripts-with-bash.mp4 (18.29 MB) 03 modifying-security-tools.mp4 (33.19 MB) 01 course-wrap-up.mp4 (11.74 MB) 04 professional-certificate-overview-ethical-hacking-using-open-source.mp4 (18.84 MB) 02 introducing-linux-and-unix.mp4 (15.2 MB) 03 overview-of-linux-architecture.mp4 (8.34 MB) 04 linux-terminal-overview.mp4 (7.68 MB) 01 overview-of-common-linux-shell-commands.mp4 (8.88 MB) 02 file-and-directory-navigation-commands.mp4 (6.5 MB)] Screenshot RapidGator https://rapidgator.net/file/1014bd4ee111fd3edfe04a146060c7d2/Coursera..Ethical.Hacking.with.Kali.Linux.rar NitroFlare https://nitroflare.com/view/8D6F52A7BA2167D/Coursera..Ethical.Hacking.with.Kali.Linux.rar

261.41 MB | 00:07:34 | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 01 course-introduction.mp4 (8.57 MB) 03 professional-certificate-overview-ethical-hacking-using-open-source.mp4 (18.93 MB) 01 what-is-ethical-hacking.mp4 (20.66 MB) 02 hacker-motivations-and-methodologies.mp4 (23.05 MB) 03 real-world-ethical-hacking-cases.mp4 (26.38 MB) 01 overview-of-global-cybersecurity-laws.mp4 (33.58 MB) 02 navigating-ethical-and-legal-boundaries.mp4 (22.97 MB) 03 legal-pitfalls-for-ethical-hackers.mp4 (32.29 MB) 04 ethical-hacking-legal-versus-illegal-hacking.mp4 (32.5 MB) 01 responsible-disclosure-process.mp4 (27.54 MB) 02 effective-security-report-writing-techniques.mp4 (23.38 MB)] Screenshot RapidGator https://rapidgator.net/file/ad4628bcfaf349f98554d30f21ca829b/Coursera..Introduction.to.Ethical.Hacking.Principles.rar NitroFlare https://nitroflare.com/view/0ECC1E8F51B799E/Coursera..Introduction.to.Ethical.Hacking.Principles.rar

Engineering Management 102 .MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 5h 12m | 916 MB Instructor: Ryan Burgess Learn practical hiring, onboarding, and team building skills for becoming a more effective Engineering Manager. Some Key Takeaways! By participating along with us in the workshop, you'll learn: Understand the motivations of why you want to be a manager Understand your leadership style Understand the role of an engineering manager Learn key strategies to onboard ramp effectively as a new manager Learn the how and why of hiring and why it's the most important thing you do Learn the importance of effective relationships with your customers and partners Learn the skills necessary to build a high-performing team Workshop Details As an aspiring manager, it's essential to understand your motivations for management, recognize your leadership style, and comprehend the role of an engineering manager. In this course, you will master effective onboarding strategies, understand the importance and process of hiring, learn to foster strong relationships, and acquire the skills to build and lead a high-performing team. Is This Workshop for Me? This course is for software engineers or current engineering mangagers looking to gain practical management skills and build stronger, higher-performing teams. More Info DDownload https://ddownload.com/9weueu5enea0/yxusj.Frontend.Masters.-.Enterprise.Engineering.Management.102.part1.rar https://ddownload.com/0yube44r4p08/yxusj.Frontend.Masters.-.Enterprise.Engineering.Management.102.part2.rar RapidGator https://rapidgator.net/file/73d4bfaa191bc95564dc41b735fdca10/yxusj.Frontend.Masters.-.Enterprise.Engineering.Management.102.part1.rar https://rapidgator.net/file/495fe2ed6109e3e80f49544b927a2017/yxusj.Frontend.Masters.-.Enterprise.Engineering.Management.102.part2.rar NitroFlare https://nitroflare.com/view/27314388884026A/yxusj.Frontend.Masters.-.Enterprise.Engineering.Management.102.part1.rar https://nitroflare.com/view/63459056B4ACEAF/yxusj.Frontend.Masters.-.Enterprise.Engineering.Management.102.part2.rar

4.54 GB | 21min 17s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : FileName :1 -About Author.mp4 | Size: (50.69 MB) FileName :2 -Course Contents.mp4 | Size: (30.23 MB) FileName :3 -Course Prerequists.mp4 | Size: (37.83 MB) FileName :4 -Why You Should Learn API Penetration Testing.mp4 | Size: (35.55 MB) FileName :1 -Cross Site Scripting in API Context.mp4 | Size: (18.51 MB) FileName :2 -Stored Cross Site Scripting.mp4 | Size: (52.96 MB) FileName :3 -Reflected XSS in API Endpoints.mp4 | Size: (33.86 MB) FileName :4 -Content-Type Cross Scripting in API Endpoints.mp4 | Size: (26.77 MB) FileName :5 -Cross Site Scripting Reflected in Users Endpoint.mp4 | Size: (21.09 MB) FileName :1 -Basic of Transport Layer Security.mp4 | Size: (26.43 MB) FileName :2 -Basic Authorization over HTTP.mp4 | Size: (37.14 MB) FileName :3 -Clear Text Password Submission.mp4 | Size: (24.92 MB) FileName :4 -SSLTLS Issues.mp4 | Size: (56.33 MB) FileName :5 -HSTS Header Missing in API.mp4 | Size: (37.01 MB) FileName :1 -Mass Assignment is a Real Thing.mp4 | Size: (18.62 MB) FileName :2 -Mass Assignment Preparation.mp4 | Size: (24.92 MB) FileName :3 -Mass Assignment Demonstration.mp4 | Size: (15.41 MB) FileName :4 -Mass Assignment Demonstration 2.mp4 | Size: (22.56 MB) FileName :5 -Mass Assignment Demonstration 3.mp4 | Size: (25.24 MB) FileName :1 -BOLA Concept.mp4 | Size: (25.44 MB) FileName :2 -BOLA - User Enumeration Through Object IDs.mp4 | Size: (19.19 MB) FileName :3 -BOLA - User Enumeration Through Object IDs Part 2.mp4 | Size: (40.63 MB) FileName :4 -BOLA Demonstration.mp4 | Size: (28.95 MB) FileName :5 -BOLA Demonstration Part 2.mp4 | Size: (31.04 MB) FileName :6 -BOLA Demonstration Live.mp4 | Size: (41.71 MB) FileName :1 -Background Concept API Perspective.mp4 | Size: (6.14 MB) FileName :2 -Path Traversal Demonstration.mp4 | Size: (23.48 MB) FileName :1 -User Enumeration Background Concept.mp4 | Size: (9.35 MB) FileName :2 -User Demonstration Demonstration.mp4 | Size: (34.75 MB) FileName :3 -User Enumeration - Email of the Adminstrator.mp4 | Size: (7.36 MB) FileName :1 -Briefing Information Disclosure.mp4 | Size: (9.88 MB) FileName :2 -Information Disclosure Demonstration.mp4 | Size: (32.17 MB) FileName :3 -Information Disclosure Demonstration Part 2.mp4 | Size: (38.45 MB) FileName :1 -JSON WEB TOKEN Concept - Refer Hunter 2 0.mp4 | Size: (23.81 MB) FileName :2 -JWT - Make User Admin.mp4 | Size: (46.87 MB) FileName :1 -Unauthorized Password Chnage Concept.mp4 | Size: (7.06 MB) FileName :2 -Another User Password Chnage Through API Calls.mp4 | Size: (39.1 MB) FileName :1 -Background Concept.mp4 | Size: (17.31 MB) FileName :2 -Excessive Data Exposure at API Debug Endpoint.mp4 | Size: (18.53 MB) FileName :1 -Lab Setup & Postman Document Sharing.mp4 | Size: (71.48 MB) FileName :1 -Background Concept.mp4 | Size: (18.4 MB) FileName :2 -Demonstration 1.mp4 | Size: (60.99 MB) FileName :3 -Resource Exhaustion.mp4 | Size: (78.31 MB) FileName :1 -Regex DOS A Real Issue.mp4 | Size: (49.43 MB) FileName :2 -Regex DOS on Email Update.mp4 | Size: (31.81 MB) FileName :3 -Regex DOS on Register API.mp4 | Size: (45.46 MB) FileName :1 -BFLA Background Concept.mp4 | Size: (9.77 MB) FileName :2 -Broken Authentication Demonstration.mp4 | Size: (57.97 MB) FileName :1 -Billion Laugh Attack Refer XXE Expansion.mp4 | Size: (51.25 MB) FileName :2 -Billion Laugh Attack Demonstration.mp4 | Size: (42.77 MB) FileName :1 -Hidden API Functionality Exposure.mp4 | Size: (17.79 MB) FileName :2 -Dictionary Attack at API Endpoint.mp4 | Size: (15.48 MB) FileName :3 -Hidden API.mp4 | Size: (15.32 MB) FileName :4 -Hidden API Exposure.mp4 | Size: (60.94 MB) FileName :1 -Unserialization Concept.mp4 | Size: (26.86 MB) FileName :2 -RCE Demonstration.mp4 | Size: (73.13 MB) FileName :1 -Introduction of Postman tool.mp4 | Size: (22.63 MB) FileName :2 -Installation of Postman tool.mp4 | Size: (63.4 MB) FileName :3 -Postman Navigation.mp4 | Size: (39.77 MB) FileName :4 -Postman Basic API Calls.mp4 | Size: (98.08 MB) FileName :5 -Authentication in Postman.mp4 | Size: (29.46 MB) FileName :6 -Oauth2 0 Authentication in Postman.mp4 | Size: (108.29 MB) FileName :7 -JWT Token in Postman.mp4 | Size: (62.98 MB) FileName :1 -Simplifying API Pentest with Swagger files.mp4 | Size: (35.88 MB) FileName :2 -Postman Json Import and Transformation of API.mp4 | Size: (34.69 MB) FileName :3 -OpenAPI Parser in Burpsuite.mp4 | Size: (48.27 MB) FileName :4 -Postman Request Intercept in Burpsuite.mp4 | Size: (83.67 MB) FileName :5 -WADL XML File Transformation and Capture File in Burpsuite.mp4 | Size: (116.56 MB) FileName :6 -Bug Bounty Perspective to Find API Endpoints.mp4 | Size: (61.78 MB) FileName :1 -API1 Broken Object Level Authorization.mp4 | Size: (55.86 MB) FileName :10 -API10 Insufficient Logging & Monitoring.mp4 | Size: (36.82 MB) FileName :2 -API2 Broken Authentication.mp4 | Size: (36.2 MB) FileName :3 -API3 Excessive Data Exposure.mp4 | Size: (31.62 MB) FileName :4 -API4 Lack of Resources and Rate Limiting.mp4 | Size: (48.34 MB) FileName :5 -API5 Broken Function Level Authorization.mp4 | Size: (35 MB) FileName :6 -API6 Mass Assignment.mp4 | Size: (49.22 MB) FileName :7 -API7 Security Misconfiguration.mp4 | Size: (36.8 MB) FileName :8 -API8 Injection.mp4 | Size: (37.25 MB) FileName :9 -API9 Improper assets management.mp4 | Size: (31.32 MB) FileName :1 -Blind SQL Injection Part 1.mp4 | Size: (168.5 MB) FileName :2 -SQL Injection.mp4 | Size: (128.72 MB) FileName :3 -Blind SQL Injection Part 2.mp4 | Size: (82.74 MB) FileName :4 -Admin Token Bypassing & SQL Injection.mp4 | Size: (90.58 MB) FileName :1 -Command Injection.mp4 | Size: (47.16 MB) FileName :2 -Approach Towards Command Injection.mp4 | Size: (65.65 MB) FileName :1 -XXE Lab Setup.mp4 | Size: (9.55 MB) FileName :10 -Data-Exfiltration via Out-of-Band(OOBXXE).mp4 | Size: (14.84 MB) FileName :11 -Out-of-Band with FTP Protocol48 Out-of-Band with FTP Protocol.mp4 | Size: (106.24 MB) FileName :12 -XXE - Internal Port Scanning.mp4 | Size: (37.52 MB) FileName :13 -Blind XXE Background Concept.mp4 | Size: (17.03 MB) FileName :14 -Hands-on Blind XXE.mp4 | Size: (15.41 MB) FileName :15 -Playing XXE in APIs.mp4 | Size: (80.66 MB) FileName :16 -XML External Entity Injection in API Part 1.mp4 | Size: (55.36 MB) FileName :17 -XML External Entity Injection in API Part 2.mp4 | Size: (59.68 MB) FileName :18 -XML External Entity Injection in API Part 3.mp4 | Size: (32.16 MB) FileName :19 -Deep Insight of XML Entity Expansion.mp4 | Size: (62.82 MB) FileName :2 -XXE Background Concept.mp4 | Size: (19.53 MB) FileName :20 -XML Generic Entity Expansion Attack.mp4 | Size: (32.4 MB) FileName :21 -XML Recursive Entity Expansion Attack.mp4 | Size: (15.64 MB) FileName :22 -XML Remote Entity Expansion Attack.mp4 | Size: (15.64 MB) FileName :3 -XML Essentials Part 1.mp4 | Size: (36.44 MB) FileName :4 -XML Esentials part 2.mp4 | Size: (63.49 MB) FileName :5 -XML Entities.mp4 | Size: (26.16 MB) FileName :6 -Basic XXE.mp4 | Size: (102.17 MB) FileName :7 -Basic XXE Exploitation.mp4 | Size: (29.46 MB) FileName :8 -XXE Exfiltration with local DTD.mp4 | Size: (24.63 MB) FileName :9 -Exfiltration with local DTD on Lab.mp4 | Size: (97.9 MB) FileName :1 -Background Concept Minimal - Refer Hunter 2 0 Section.mp4 | Size: (21.75 MB) FileName :2 -External Service Interaction (HTTP).mp4 | Size: (23.31 MB) FileName :3 -External Service Intercation (DNS).mp4 | Size: (14.97 MB) FileName :4 -Access Application Running on Intranet.mp4 | Size: (18.48 MB)] Screenshot RapidGator https://rapidgator.net/file/c2c81acb7bb77a016f17d9cebc49a620/Offensive.API.Exploitation.part1.rar https://rapidgator.net/file/b0527be56c11a283be575de06600dec6/Offensive.API.Exploitation.part2.rar https://rapidgator.net/file/8f97272faa2870f60784ee836c1037a6/Offensive.API.Exploitation.part3.rar https://rapidgator.net/file/4fa2cf2744073115632aa02b50ea717d/Offensive.API.Exploitation.part4.rar https://rapidgator.net/file/98d37e79c7e7dcea199aa3138a822a74/Offensive.API.Exploitation.part5.rar NitroFlare https://nitroflare.com/view/061A677C987D5B7/Offensive.API.Exploitation.part1.rar https://nitroflare.com/view/FD54F330789F594/Offensive.API.Exploitation.part2.rar https://nitroflare.com/view/49BABE888BC167D/Offensive.API.Exploitation.part3.rar https://nitroflare.com/view/90ABC0AAD99DB2A/Offensive.API.Exploitation.part4.rar https://nitroflare.com/view/F210A0C4B3A5151/Offensive.API.Exploitation.part5.rar

Learn Python Fast (2025) Published 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.57 GB | Duration: 4h 48m High-Performance Programming What you'll learn Understand Python Fundamentals learn Python syntax, data types, variables, and operators. Understand control structures like loops and conditionals. Master lists, tuples dictionaries, and sets.Learn how to manipulate and store data efficiently. Develop Problem-Solving Skills Write functions and use modules to organize code. Build Real World Applications,Learn file handling, error handling, and debugging Work with libraries like NumPy, Pandas, or Flask for practical pro Requirements No programming experience needed. Description Have you ever wondered how apps are built, data is analyzed, or robots are programmed? The answer lies in one powerful language-Python.Python isn't just another programming language-it's the key to unlocking endless possibilities. From web development to artificial intelligence, from automating boring tasks to building your dream projects, Python does it all.And now, YOU can master Python too-with Learn Python Fast Course, the ultimate step-by-step guide designed for beginners and pros alike. Ever wondered how tech innovators turn ideas into reality? How data scientists unlock insights from numbers? Or how developers build the apps you use every day? The secret weapon? Python.Whether you're a total beginner, a career changer, or a professional aiming to upskill-Python is your gateway to the future. And now, mastering it is easier than ever.Start from scratch-no experience needed!Create games, apps, and AI tools in weeks, not years.Prep for roles in tech, data, automation, and more.Don't just watch the tech revolution-lead it. Enroll now and start coding your future today.Don't wait-your journey into the world of Python starts TODAY! Enroll now in High-Performance Programming and get instant access to: 1.Lifetime access to all lessons 2.Exclusive project templates Whether you're a total beginner, a career changer, or a professional aiming to upskill. DDownload https://ddownload.com/81zypmp77u2t/yxusj.Udemy_Learn_Python_Fast.part1.rar https://ddownload.com/rabf3242m148/yxusj.Udemy_Learn_Python_Fast.part2.rar RapidGator https://rapidgator.net/file/ee1ed77f07b10c17cbe0bf69240a8ea4/yxusj.Udemy_Learn_Python_Fast.part1.rar https://rapidgator.net/file/7db9da0b79367bbe0e90bb99cc1af2bb/yxusj.Udemy_Learn_Python_Fast.part2.rar NitroFlare https://nitroflare.com/view/D1BAF53DEEBFEC5/yxusj.Udemy_Learn_Python_Fast.part1.rar https://nitroflare.com/view/FE07DD210BDFAB1/yxusj.Udemy_Learn_Python_Fast.part2.rar

Photography Masterclass No 149 2025 English | PDF | 174.39 MB RapidGator https://rapidgator.net/file/4c13aa62e6ccf2cb13df0710a446c5d9/pme216p.nfo https://rapidgator.net/file/ab05ec5d90aee4bf2a46ccff1731f963/pme216p1.pdf NitroFlare https://nitroflare.com/view/16FD3D6013AD26A/pme216p.nfo https://nitroflare.com/view/67958889B164D53/pme216p1.pdf UploadY https://uploady.io/ufylex3njmol/pme216p.nfo https://uploady.io/x6qngqao7i7m/pme216p1.pdf

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49.77 GB | 37min 6s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : FileName :1 -В продуктовом магазине.mp4 | Size: (56.16 MB) FileName :10 -Посещение библиотеки.mp4 | Size: (53.45 MB) FileName :11 -На регистрации в аэропорту.mp4 | Size: (45.07 MB) FileName :12 -Покупка одежды.mp4 | Size: (57.48 MB) FileName :13 -В булочной.mp4 | Size: (51.9 MB) FileName :14 -Посещение зоопарка.mp4 | Size: (47.34 MB) FileName :15 -Бронирование стола в ресторане.mp4 | Size: (33.21 MB) FileName :16 -Звонок по телефону.mp4 | Size: (44.57 MB) FileName :17 -Участие в дне рождения.mp4 | Size: (50.77 MB) FileName :18 -Разговор о ваших хобби.mp4 | Size: (53.17 MB) FileName :19 -На вокзале.mp4 | Size: (47.58 MB) FileName :2 -Спросить дорогу.mp4 | Size: (42.16 MB) FileName :20 -Спросить о помощи на улице.mp4 | Size: (35.38 MB) FileName :3 -Встреча с новым соседем.mp4 | Size: (51.47 MB) FileName :4 -На автобусной остановке.mp4 | Size: (49.19 MB) FileName :5 -Планирование пикника.mp4 | Size: (52.04 MB) FileName :6 -День на пляже.mp4 | Size: (48.34 MB) FileName :7 -Разговор о погоде.mp4 | Size: (48.68 MB) FileName :8 -Поход на почту.mp4 | Size: (48.44 MB) FileName :9 -Покупка подарка на день рождения.mp4 | Size: (56 MB) FileName :1 -Разговор о выходном походе.mp4 | Size: (49.5 MB) FileName :10 -В банке открытие счета.mp4 | Size: (56.55 MB) FileName :11 -Запрос ближайшего банкомата.mp4 | Size: (38.43 MB) FileName :12 -Визит к другу в больнице.mp4 | Size: (42.33 MB) FileName :13 -Утро в парке.mp4 | Size: (54.63 MB) FileName :14 -На фестивале, покупая еду.mp4 | Size: (41.98 MB) FileName :15 -Обсуждение любимых напитков.mp4 | Size: (51 MB) FileName :16 -Спросить о местных событиях.mp4 | Size: (50.25 MB) FileName :17 -В туристическом агентстве.mp4 | Size: (54.14 MB) FileName :18 -Разговор о фитнес-целях.mp4 | Size: (52.58 MB) FileName :19 -Визит в садовый центр.mp4 | Size: (52.05 MB) FileName :2 -Планируя вечер кино.mp4 | Size: (46.92 MB) FileName :20 -В супермаркете покупка продуктов.mp4 | Size: (47.95 MB) FileName :3 -В автосалоне.mp4 | Size: (49.93 MB) FileName :4 -Аренда дома для отпуска.mp4 | Size: (43.14 MB) FileName :5 -Разговор о путешествиях.mp4 | Size: (53.5 MB) FileName :6 -На детской площадке.mp4 | Size: (55.32 MB) FileName :7 -Покупка спортивного оборудования.mp4 | Size: (53.43 MB) FileName :8 -Посещение нового ресторана.mp4 | Size: (45.2 MB) FileName :9 -Организация семейной встречи.mp4 | Size: (51.28 MB) FileName :1 -Помогаем другу печь.mp4 | Size: (62.43 MB) FileName :10 -Планирование дня на пляже.mp4 | Size: (44.68 MB) FileName :11 -У бассейна, плавая с друзьями.mp4 | Size: (46.76 MB) FileName :12 -Посещение местной ярмарки.mp4 | Size: (48.48 MB) FileName :13 -Обсуждение здоровых привычек питания.mp4 | Size: (61.93 MB) FileName :14 -Посещение рождественского рынка.mp4 | Size: (58.95 MB) FileName :15 -Покупка праздничных украшений.mp4 | Size: (51.89 MB) FileName :16 -Разговор о вашем любимом празднике.mp4 | Size: (58.63 MB) FileName :17 -На теннисном корте, играя матч.mp4 | Size: (45.05 MB) FileName :18 -На автозаправочной станции.mp4 | Size: (56.02 MB) FileName :19 -Планирование семейного ужина.mp4 | Size: (45.25 MB) FileName :2 -Заказ напитков в кафе.mp4 | Size: (48.31 MB) FileName :20 -Обсуждение планов на будущее отпуск.mp4 | Size: (58.14 MB) FileName :3 -В спортивном магазине, покупая снаряжение.mp4 | Size: (56.1 MB) FileName :4 -Разговор о любимых фильмах.mp4 | Size: (57.53 MB) FileName :5 -В продуктовом магазине покупая овощи.mp4 | Size: (51.76 MB) FileName :6 -Обсуждение активных мероприятий на свежем воздухе.mp4 | Size: (59.39 MB) FileName :7 -Посещение фермерского рынка.mp4 | Size: (64.86 MB) FileName :8 -Просьба о помощи с упаковкой.mp4 | Size: (47.06 MB) FileName :9 -Покупка подарков для дня рождения.mp4 | Size: (51.47 MB) FileName :1 -Помощь другу с покупками.mp4 | Size: (45.29 MB) FileName :10 -Обсуждение повседневных рабочих рутин.mp4 | Size: (58.17 MB) FileName :11 -Говорим о нашем районе.mp4 | 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ZZAP AMIGA No 22 2025 English | PDF | 56.29 MB RapidGator https://rapidgator.net/file/6e3811d350a9d5054a19039d177aee1b/zaea7dp.nfo https://rapidgator.net/file/512497d740f8b93ebb6ec23a0903ba02/zaea7dp1.pdf NitroFlare https://nitroflare.com/view/88BFD874A9499A3/zaea7dp.nfo https://nitroflare.com/view/A6351954ECD957A/zaea7dp1.pdf UploadY https://uploady.io/su63u09c3w1m/zaea7dp.nfo https://uploady.io/dfvbbog3c065/zaea7dp1.pdf