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Autonomous Cars: Deep Learning and Computer Vision in Python Last updated 4/2025 Duration: 12h 28m | .MP4 1920x1080, 30 fps(r) | AAC, 44100 Hz, 2ch | 8.5 GB Genre: eLearning | Language: English Learn OpenCV, Keras, object and lane detection, and traffic sign classification for self-driving cars What you'll learn - Automatically detect lane markings in images - Detect cars and pedestrians using a trained classifier and with SVM - Classify traffic signs using Convolutional Neural Networks - Identify other vehicles in images using template matching - Build deep neural networks with Tensorflow and Keras - Analyze and visualize data with Numpy, Pandas, Matplotlib, and Seaborn - Process image data using OpenCV - Calibrate cameras in Python, correcting for distortion - Sharpen and blur images with convolution - Detect edges in images with Sobel, Laplace, and Canny - Transform images through translation, rotation, resizing, and perspective transform - Extract image features with HOG - Detect object corners with Harris - Classify data with machine learning techniques including regression, decision trees, Naive Bayes, and SVM - Classify data with artificial neural networks and deep learning Requirements - Windows, Mac, or Linux PC with at least 3GB free disk space. - Some prior experience in programming. Description Autonomous Cars: Computer Vision and Deep Learning The automotive industry is experiencing a paradigm shift from conventional, human-driven vehicles into self-driving, artificial intelligence-powered vehicles.Self-driving vehiclesoffer a safe, efficient, and cost effective solution that will dramatically redefine the future of human mobility. Self-driving cars are expected to save over half a million lives and generate enormous economic opportunities in excess of $1 trillion dollars by 2035. The automotive industry is on a billion-dollar quest to deploy the most technologically advanced vehicles on the road. As the world advances towards a driverless future, the need for experienced engineers and researchers in this emerging new field has never been more crucial. The purpose of this course is to provide students with knowledge of key aspects of design and development of self-driving vehicles. The course provides students with practical experience in various self-driving vehicles concepts such as machine learning and computer vision. Concepts such aslane detection, traffic sign classification, vehicle/object detection, artificial intelligence, and deep learningwill be presented. The course is targeted towards students wanting to gain a fundamental understanding of self-driving vehicles control. Basic knowledge of programming is recommended. However, these topics will be extensively covered during early course lectures; therefore, the course has no prerequisites, and is open to any student with basic programming knowledge. Students who enroll in this self-driving car course will master driverless car technologies that are going to reshape the future of transportation. Tools and algorithms we'll cover include: OpenCV Deep Learning and Artificial Neural Networks Convolutional Neural Networks Template matching HOG feature extraction SIFT, SURF, FAST, and ORB Tensorflow and Keras Linear regression and logistic regression Decision Trees Support Vector Machines Naive Bayes Your instructors areDr. Ryan Ahmedwith a PhD in engineering focusing on electric vehicle control systems, andFrank Kane, who spent 9 years at Amazon specializing in machine learning. Together, Frank and Dr. Ahmed have taught over 500,000 students around the world on Udemy alone. Students of our popular course, "Data Science, Deep Learning, and Machine Learning with Python" may find some of the topics to be a review of what was covered there, seen through the lens of self-driving cars. But, most of the course focuses on topics we've never covered before, specific to computer vision techniques used in autonomous vehicles. There are plenty of new, valuable skills to be learned here! Who this course is for: - Software engineers interested in learning the algorithms that power self-driving cars. 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Pyuvm Series Part 3 : Python Oops Fundamentals Published 1/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 984.39 MB | Duration: 3h 13m Step by Step Guide from Scratch What you'll learn Fundamentals of Classes Class Methods Inter-process communication Randomization Building verification environment in Python Requirements Fundamentals of Digital Electronics and Verilog Completion of Python for VLSI Engineer P1, and P2 Course or Basics of Python & COCOTB Description This comprehensive course is designed to empower software engineers, developers, and verification engineers with advanced Python programming skills for effective Object-Oriented Programming (OOP) and hardware verification tasks. Participants will delve into the fundamentals of Python and explore advanced concepts, including classes, inheritance, copy mechanisms, randomization, inter-process communication with queues, and task synchronization with events. The course will also provide hands-on experience in building a verification environment, encompassing generators, drivers, monitors, and scoreboards for robust Design Under Test (DUT) verification.Key Topics Covered:Object-Oriented Programming (OOP) in Python:Understanding classes and objectsEncapsulation, inheritance, and polymorphismMethod overriding and operator overloadingCopy Mechanisms:Shallow and deep copy in PythonBest practices for efficient copyingCopying complex data structuresRandomization Techniques:Utilizing the 'random' module for pseudo-random number generationRandomizing data for diverse test scenariosSeed management for reproducibilityInter-Process Communication:Introduction to Python multiprocessingCommunication using queuesSynchronization and data exchange between processesTask Synchronization:Implementation of event-driven synchronizationCoordinating tasks with eventsAvoiding race conditions and deadlocksVerification Environment:Designing a verification environment for a Design Under Test (DUT)Developing generators for stimulus creationBuilding robust drivers for interfacing with the DUTMonitoring and analyzing DUT behavior with monitorsScoreboarding techniques for result verificationHands-On Projects:Participants will engage in practical exercises and projects throughout the course, applying the learned concepts to real-world scenarios. This will include creating a complete verification environment for a sample DUT, incorporating OOP principles, copy mechanisms, randomization, and inter-process communication.By the end of this course, participants will possess advanced Python skills, enabling them to design and implement efficient and scalable verification environments for hardware designs, while incorporating best practices in OOP and software development. This course is ideal for professionals working in fields such as hardware verification who want to enhance their Python proficiency for building Class based Verification environment in Python. Overview Section 1: Fundamentals of Classes part 1 Lecture 1 Fundamentals of Class Lecture 2 Creating class p1 Lecture 3 Code Lecture 4 Creating class p2 Lecture 5 Code Lecture 6 Creating Class p3 Lecture 7 Code Lecture 8 Understanding self p1 Lecture 9 Understanding self p2 Lecture 10 Code Lecture 11 Double Underscore Methods Lecture 12 Code Lecture 13 User defined methods in Class Lecture 14 Code Lecture 15 Deleting Class Lecture 16 Code Section 2: Fundamentals of Classes part 2 Lecture 17 Inheritance P1 Lecture 18 Code Lecture 19 Inheritance P2 Lecture 20 Code Lecture 21 Shallow and Deep Copy Lecture 22 Shallow Copy Lecture 23 Deep Copy Lecture 24 Code Section 3: Interprocess Communication (IPC) Lecture 25 IPC with functions Lecture 26 Code Lecture 27 IPC with classes Lecture 28 Code Lecture 29 Configurable delays Lecture 30 Code Lecture 31 Default behavior of Queue Lecture 32 Code Lecture 33 Queue with user defined size Lecture 34 Code Lecture 35 Event within task for single transaction P1 Lecture 36 Event within task for single transaction P2 Lecture 37 Code Lecture 38 Event within task for multiple transaction Lecture 39 Code Lecture 40 Event with Mulitple classes Lecture 41 Code Section 4: Randomization Lecture 42 Adding random variables Lecture 43 Code Lecture 44 Using randomize_with Lecture 45 Code Lecture 46 Adding Constraints : Standalone Lecture 47 Code Lecture 48 Adding Constraints : Combined Lecture 49 Code Lecture 50 Adding Constraints : Overwriting Constraint Lecture 51 Code Lecture 52 Adding Constraints : Solving Order Lecture 53 Code Lecture 54 Adding Constraints : Dependent Constraint Lecture 55 Code Lecture 56 Adding Constraints : User defined weighted distribution Lecture 57 Code Section 5: Building Verification Environment Lecture 58 Understanding Verification environment P1 Lecture 59 Understanding Verification environment P2 Lecture 60 Understanding Verification environment P3 Lecture 61 Understanding Verification environment P4 Lecture 62 Understanding Verification environment P5 Lecture 63 Adding Transaction, Generator and Driver P1 Lecture 64 Adding Transaction, Generator and Driver P2 Lecture 65 Adding Transaction, Generator and Driver P3 Lecture 66 Code Lecture 67 Adding Monitor and Scoreboard P1 Lecture 68 Adding Monitor and Scoreboard P2 Lecture 69 Code Section 6: Project : 4-bit Synchronus Adder Lecture 70 Design Lecture 71 TB Part 1 Lecture 72 TB Part 2 Lecture 73 TB Part 3 Lecture 74 Code If you're excited about Python and DUT verification with Python, this is the place for you. 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Pyuvm Series Part 4 : Python Oops Verification Env Projects Published 1/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.21 GB | Duration: 3h 29m Step by Step Guide from Scratch What you'll learn Verification of Combinational Circuit Verification of Sequential Circuit Verification of UART device Verification of SPI device with and without slave Verification of I2C device Requirements Fundamentals of Digital Electronics and Verilog Completion of Python for VLSI Engineer P1, P2 and P3 Course or Fundamentals of Python, Python OOPs & COCOTB Description Welcome to our comprehensive course on Class-Based Python Verification Environment for Digital Design! In this dynamic program, participants will delve into the realm of hardware verification, focusing on UART, SPI, DFF, I2C, FIFO, and combinational multiplier Design Under Test (DUT). Leveraging the power of Python and object-oriented programming, this course equips learners with the essential skills to construct robust verification environments for these key digital components.Throughout the course, participants will gain hands-on experience in creating modular and reusable verification components using Python classes. We will explore the intricacies of UART, SPI, DFF, I2C, FIFO, and combinational multiplier behaviors and implement comprehensive testbenches to verify their functionality. Participants will learn how to create comprehensive verification plans, write effective test cases to ensure a thorough and well-documented verification process.By adopting a class-based approach, participants will develop a deep understanding of the underlying design principles and be well-prepared to handle complex verification scenarios.Key topics include building a scalable testbench architecture, crafting effective stimulus generation and response checking mechanisms, and implementing advanced features such as constrained random testing.Join us on this transformative journey, where you will not only gain expertise in class-based Python verification but also foster a holistic understanding of the digital design verification landscape. Elevate your career by mastering the skills necessary to navigate the complexities of modern digital systems and contribute effectively to the success of digital design projects. Overview Section 1: Introduction Lecture 1 How to use IDE Lecture 2 Code Lecture 3 Components of Verification Environment Lecture 4 Learning Path Section 2: Combinational Circuit Lecture 5 Design Lecture 6 TB Part 1 Lecture 7 TB Part 2 Lecture 8 TB Part 3 Lecture 9 Design Code Lecture 10 TB Code Lecture 11 Makefile Section 3: D-Flipflop Lecture 12 Design Lecture 13 TB Part 1 Lecture 14 TB Part 2 Lecture 15 Design Code Lecture 16 TB Code Lecture 17 Makefile Section 4: FIFO Lecture 18 Understanding Design Lecture 19 TB part 1 Lecture 20 TB part 2 Lecture 21 Design Code Lecture 22 TB Code Lecture 23 Makefile Section 5: SPI Lecture 24 SPI Master Design Lecture 25 TB Part 1 Lecture 26 TB Part 2 Lecture 27 TB Part 3 Lecture 28 TB Part 4 Lecture 29 Design Code Lecture 30 TB Code Lecture 31 Makefile Lecture 32 SPI with Slave device Design Lecture 33 Testbench COde Lecture 34 Design Code Lecture 35 Verilog TB Lecture 36 TB Code Lecture 37 Makefile Section 6: I2C Lecture 38 Understanding start and stop conditions Lecture 39 I2C Write and Read Transactions Lecture 40 I2C Master FSM Lecture 41 I2C Master Lecture 42 I2C Slave Lecture 43 TB P1 Lecture 44 TB P2 Lecture 45 TB P3 Lecture 46 Design Code Lecture 47 TB Code Lecture 48 Makefile Section 7: UART Lecture 49 Understanding Design P1 Lecture 50 Understanding Design P2 Lecture 51 TB P1 Lecture 52 TB P2 Lecture 53 Design Code Lecture 54 TB Code Lecture 55 Makefile If you're excited about Python and DUT verification with Python, this is the place for you. DDownload https://ddownload.com/ghcmn4l9mnpq/yxusj.Udemy.-.PyUVM.Series.Part.4..Python.OOPS.verification.env.projects.part1.rar https://ddownload.com/7wqqqbzig55t/yxusj.Udemy.-.PyUVM.Series.Part.4..Python.OOPS.verification.env.projects.part2.rar AusFile https://ausfile.com/dyggmk94fikq/yxusj.Udemy.-.PyUVM.Series.Part.4..Python.OOPS.verification.env.projects.part1.rar https://ausfile.com/5blh3o6uy8le/yxusj.Udemy.-.PyUVM.Series.Part.4..Python.OOPS.verification.env.projects.part2.rar RapidGator https://rapidgator.net/file/81ff6c477c1167c4b61347ae653f92c8/yxusj.Udemy.-.PyUVM.Series.Part.4..Python.OOPS.verification.env.projects.part1.rar https://rapidgator.net/file/21078ac94b506def5ab70783fdb0311c/yxusj.Udemy.-.PyUVM.Series.Part.4..Python.OOPS.verification.env.projects.part2.rar

3.4 GB | 1h 24min 0s | mp4 | 1920X1080 | 16:9 Genre:eLearning |Language:English Files Included : FileName :01 Part1.mp4 | Size: (210.38 MB) FileName :02 Part2.mp4 | Size: (237.89 MB) FileName :03 Part3.mp4 | Size: (171.52 MB) FileName :04 Part4.mp4 | Size: (301.84 MB) FileName :05 Part5.mp4 | Size: (242.96 MB) FileName :06 Part6.mp4 | Size: (242.96 MB) FileName :07 Part7.mp4 | Size: (396.46 MB) FileName :08 Part8.mp4 | Size: (396.46 MB) FileName :09 Part9.mp4 | Size: (224.47 MB) FileName :10 Part10.mp4 | Size: (402.73 MB) FileName :11 Part11.mp4 | Size: (402.73 MB) FileName :12 Part12.mp4 | Size: (247.27 MB)] Screenshot AusFile https://ausfile.com/yg5llzf8h0oj/Frontend.Masters.-.Fullstack.Deployment.From.Containers.to.Production.AWS.part1.rar https://ausfile.com/t1i6s5f8pb9u/Frontend.Masters.-.Fullstack.Deployment.From.Containers.to.Production.AWS.part2.rar https://ausfile.com/tyf253h89wxp/Frontend.Masters.-.Fullstack.Deployment.From.Containers.to.Production.AWS.part3.rar https://ausfile.com/tf6xwcn3male/Frontend.Masters.-.Fullstack.Deployment.From.Containers.to.Production.AWS.part4.rar RapidGator https://rapidgator.net/file/33d4646452d0e0cb1bd5f96f0d8b6fc1/Frontend.Masters.-.Fullstack.Deployment.From.Containers.to.Production.AWS.part1.rar https://rapidgator.net/file/5654efed5f865fdeab2889b3204ee30b/Frontend.Masters.-.Fullstack.Deployment.From.Containers.to.Production.AWS.part2.rar https://rapidgator.net/file/f8e4eba51fe750152d31e12dc708f735/Frontend.Masters.-.Fullstack.Deployment.From.Containers.to.Production.AWS.part3.rar https://rapidgator.net/file/d8732482a07876aa66681001e84f1e73/Frontend.Masters.-.Fullstack.Deployment.From.Containers.to.Production.AWS.part4.rar

3.44 GB | 12min 26s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 Introduction.mp4 (150.18 MB) 2 How to follow the course.mp4 (33.79 MB) 3 Installing software and download source code IMPORTANT.mp4 (43.39 MB) 4 Building our first Vite application.mp4 (91.65 MB) 5 ESM and CommonJS modules.mp4 (142.54 MB) 6 ESM modules in Browser.mp4 (42.14 MB) 7 Explore the Vite build.mp4 (94.19 MB) 8 How is Vite fast and different from others.mp4 (73.75 MB) 1 Section Introduction ( Building with Vite ).mp4 (38.49 MB) 2 Netflix base project.mp4 (91.45 MB) 3 Adding Vite to Netflix project.mp4 (79.74 MB) 4 Fixing our dashboard page.mp4 (125.58 MB) 5 Fixing image loading issue.mp4 (83.45 MB) 6 Importing scripts and CSS.mp4 (145.5 MB) 7 CSS modules.mp4 (140.25 MB) 8 SASS with Vite.mp4 (65.47 MB) 9 Adding public assets.mp4 (54.49 MB) 1 Section introduction ( SPA and UI Library ).mp4 (22.75 MB) 10 Vite bundle visualizer , Treeshaking.mp4 (124.76 MB) 11 Creating Treeshakable library.mp4 (181.75 MB) 12 Tailwind CSS config for Vite.mp4 (131.03 MB) 13 Eslint with Vite and React.mp4 (99.1 MB) 14 Vite alias path.mp4 (114.68 MB) 2 Starting React app with Vite template.mp4 (45.35 MB) 3 Setting up React app from scratch.mp4 (157.79 MB) 4 Adding Vite builder.mp4 (61.15 MB) 5 Using SVG as React component.mp4 (104.15 MB) 6 UI library introduction setup.mp4 (152.13 MB) 7 Importing UI library into React app.mp4 (127.74 MB) 8 Inject CSS into JS build.mp4 (65.08 MB) 9 Images inside JS build.mp4 (29.24 MB) 1 Production & Deployment Section Introduction.mp4 (21.85 MB) 2 PostCSS Autoprefixer.mp4 (147.93 MB) 3 Vite base path config.mp4 (56.18 MB) 4 Cache control in Vite.mp4 (107.26 MB) 5 Manual Chunks.mp4 (72 MB) 6 Migrating Create React App to Vite.mp4 (174.47 MB) 7 Deploying to Netlify.mp4 (31.99 MB)] Screenshot AusFile https://ausfile.com/3gf6jeeb1dfr https://ausfile.com/u6iffp24gtbr https://ausfile.com/ecdso45fwydx https://ausfile.com/b6bv4sowj3hb RapidGator https://rapidgator.net/file/cb797ef2fbffec7e80af9a661380412c/ https://rapidgator.net/file/178ac7de149ba9cd1fcc09fe6ab0cee7/ https://rapidgator.net/file/514891ebe3b54f076fca476ffbdf7ef4/ https://rapidgator.net/file/3a3e417dd2a1c294e16927a73c6461bd/

3.35 GB | 1h 20min 46s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 What is Swarm & its overview.mp4 (28.33 MB) 10 Docker Swarm Secrets.mp4 (136.84 MB) 11 Docker Swarm Volumes.mp4 (197.9 MB) 12 Docker Swarm Promote & Demote.mp4 (84.2 MB) 13 Docker Swarm config.mp4 (54.49 MB) 14 Docker Swarm Constraints.mp4 (97.25 MB) 15 Docker Swarm global-mode.mp4 (20.6 MB) 16 Docker Swarm reserve CPU & memory.mp4 (243.83 MB) 17 Docker Swarm Stack-deploy.mp4 (266.48 MB) 18 Docker Swarm Lock.mp4 (110.39 MB) 19 Docker Swarm with AWS Loadbalancer.mp4 (270.08 MB) 2 Docker Swarm architecture & features.mp4 (25.8 MB) 20 Docker Swarm Pipeline.mp4 (420.8 MB) 21 Docker Swarm in Local-machine.mp4 (528.44 MB) 3 AWS login.mp4 (10.35 MB) 4 Docker Swarm Installation and Cluster Creation.mp4 (317.71 MB) 5 Deploy services to a swarm Part 1.mp4 (187.92 MB) 6 Deploy services to a swarm Part 2.mp4 (188.48 MB) 7 Docker Swarm join-advanced.mp4 (93.19 MB) 8 Docker Swarm Networks.mp4 (57.5 MB) 9 Docker Swarm nodes operations.mp4 (92.2 MB)] Screenshot AusFile https://ausfile.com/8l0ms6gjc31x https://ausfile.com/olu1l3m13kbu https://ausfile.com/cgjw7p3kdea9 https://ausfile.com/q9gaunp01879 RapidGator https://rapidgator.net/file/b88ae45a0a869ecbdfaf6d1a2794f9e7/ https://rapidgator.net/file/55902a51a117f3020c4a592a45e0bd16/ https://rapidgator.net/file/946df045b5d047166f4d05279274342b/ https://rapidgator.net/file/9e377751d90f122acacbabac616d6438/

1.47 GB | 24min 34s | mp4 | 1920X1080 | 16:9 Genre:eLearning |Language:English Files Included : 1 - Introduction to Data Structure.mp4 (17.2 MB) 24 - Linear Search.mp4 (26.35 MB) 25 - Binary Search.mp4 (40.31 MB) 26 - Prims Algorithm.mp4 (50.46 MB) 27 - Krushkals Algorithm.mp4 (130.06 MB) 28 - Dijkstras Algorithm.mp4 (73.13 MB) 29 - Bellman Ford Algorithm.mp4 (79.97 MB) 30 - Problem Solving Techniques.mp4 (27.43 MB) 31 - Divide And Conquer Technique.mp4 (33.32 MB) 32 - Brute Force Technique.mp4 (24.28 MB) 33 - PreOrder Traversal.mp4 (52.91 MB) 34 - InOrder Traversal.mp4 (41.76 MB) 35 - PostOrder Traversal.mp4 (29.68 MB) 2 - Time and Space Complexity.mp4 (7.49 MB) 3 - Best Average and Worst Case Analysis.mp4 (4.96 MB) 4 - Big O Notation.mp4 (4.93 MB) 5 - introduction to Arrays.mp4 (48.36 MB) 6 - Arrays Operation.mp4 (14.36 MB) 10 - Circular Linked list.mp4 (30.72 MB) 7 - Singly Linked list.mp4 (21.12 MB) 8 - Singly linked list.mp4 (28.37 MB) 9 - Doubly Linked list.mp4 (13.34 MB) 11 - introduction to stack and its Operation.mp4 (19.43 MB) 12 - Introduction to Queue and its Opeartions.mp4 (34.33 MB) 13 - introduction to Trees.mp4 (78.78 MB) 14 - Binary Tree.mp4 (26.69 MB) 15 - Master Graphs in DSA.mp4 (89.51 MB) 16 - Breadth First Search Algorithm With Python Code walkthrough.mp4 (66.41 MB) 17 - Depth First Search Algorithm With Python Code walkthrough.mp4 (26.17 MB) 18 - Hashing Collision.mp4 (67.35 MB) 19 - Selection Sort.mp4 (32.53 MB) 20 - Bubble Sorting.mp4 (43.34 MB) 21 - Quick Sorting.mp4 (65.41 MB) 22 - Insertion Sorting.mp4 (92.75 MB) 23 - Merge Sorting.mp4 (60.89 MB)] Screenshot AusFile https://ausfile.com/y7e5kk8ilm0f https://ausfile.com/0pff7mevgo0e RapidGator https://rapidgator.net/file/c3c0a0d58e5e4a33ee7ed7d115bb509a/ https://rapidgator.net/file/a603c1b5f5461c9a8fdb5dd3fe3c0351/

2.74 GB | 29min 51s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 Brief history of Python.mp4 (61.95 MB) 2 Why choose Python Its advantages and applications.mp4 (55.03 MB) 3 Setting up the Python environment.mp4 (104.49 MB) 4 Running your first Python program.mp4 (39.72 MB) 1 Python indentation and comments.mp4 (69.71 MB) 2 ChatGPT Guide Declaring Variables and Identifying Data Types in Python.mp4 (84 MB) 3 ChatGPT Guide Manipulating and Formatting Strings in Python.mp4 (102.07 MB) 4 Working with Numbers Integers and Floats in Python.mp4 (60.32 MB) 5 Understanding and Using Booleans in Python.mp4 (109.36 MB) 1 Understanding Lists in Python.mp4 (104.57 MB) 2 Working with Tuples in Python.mp4 (58.9 MB) 3 ChatGPT Guide Integrating and Using Sets in Python.mp4 (138.17 MB) 4 ChatGPT Guide Operations and Examples with Dictionaries in Python.mp4 (84.56 MB) 1 ChatGPT Guide Creating Conditional Statements (if, elif, else) in Python.mp4 (52.58 MB) 2 ChatGPT Guide Using Loops (for, while) Effectively in Python.mp4 (76.53 MB) 3 Mastering Loop Control Statements (break, continue, pass) in Python.mp4 (59.95 MB) 1 ChatGPT Guide Defining and Calling Functions in Python.mp4 (90.77 MB) 2 Understanding Return Values and Scope in Python.mp4 (77.2 MB) 3 Mastering Function Arguments Positional, Keyword, Default in Python.mp4 (97.12 MB) 4 Introduction to Lambda Functions in Python.mp4 (84.65 MB) 1 ChatGPT Guide Exploring and Importing Python Modules & Libraries.mp4 (78.25 MB) 2 Creating and Importing Custom Python Modules.mp4 (68.82 MB) 1 Understanding Common Python Errors and Exceptions.mp4 (79.46 MB) 2 ChatGPT Guide Handling Exceptions with Try, Except, Finally in Python.mp4 (65.28 MB) 1 Understanding Importance of Data Analysis.mp4 (72.12 MB) 2 Exploring Python's Ecosystem for Data Analysis.mp4 (57.6 MB) 3 Working with NumPy arrays.mp4 (114.05 MB) 4 Introduction to Pandas for Data Analysis.mp4 (420.64 MB) 5 Visualizing Data with Matplotlib in Python.mp4 (181.55 MB) 1 Recap of Python basics.mp4 (61.04 MB)] Screenshot AusFile https://ausfile.com/rxnzdrqc6cow https://ausfile.com/rszadejpy20m https://ausfile.com/6la20xaihpww RapidGator https://rapidgator.net/file/9250bc2efde7935a54f34a7b7e833a54/ https://rapidgator.net/file/22a6ec19fcd92f4fa01931d946ad6e42/ https://rapidgator.net/file/3c572eee25d276d74bd5b182a6aef786/

Blazor Deep Dive - From Beginner to Advanced in .NET 8 Published 5/2024 Created by Frank Liu MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 132 Lectures ( 14h 36m ) | 6.57 GB Ultimate ASP.NET Core Blazor Course in .NET 8 with projects What you'll learn: Basic Blazor concepts and project structures Choices of Interactivities Basics of razor components Razor syntax Blazor Static Server-side Rendering (Blazor SSR) Form submission and validations Navigations Stream Rendering Enhanced Navigation Event handling Two way data binding Virtualizaiton Component Parameters Cascading Parameters Templated components QuickGrid Component life cycle events Static vs Interactive Routing Different ways for State Management Working with WebAssembly Data Access for Server side Blazor with Entity Framework Core Data Access with Web API for WebAssembly Authentication and Authorization with ASPNET Core Pre-Rendering in Blazor Requirements: Basic HTML Intermediate C# Good understanding of OOP, esp. the usage of interface (although Dependency Injection is thoroughly covered in this course) It is best if you have a little bit experience with ASP Dot Net Core. But don't worry too much, I will help you with that too. Homepage DDownload https://ddownload.com/u3mut00cj7ge/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part01.rar https://ddownload.com/etz19ueydmpg/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part02.rar https://ddownload.com/wijr3s499u2q/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part03.rar https://ddownload.com/1pb8byuvfn9u/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part04.rar https://ddownload.com/ftyer2ui95ze/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part05.rar https://ddownload.com/t9fmgec3oeo0/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part06.rar https://ddownload.com/3v68fmuoduoe/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part07.rar https://ddownload.com/gna3vig7a86o/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part08.rar AusFile https://ausfile.com/4ta5y9lqmzbk/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part01.rar https://ausfile.com/hj186uq6mjbt/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part02.rar https://ausfile.com/s89g8cvd3drq/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part03.rar https://ausfile.com/fzttrybwdzju/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part04.rar https://ausfile.com/j0fwmc41hoy0/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part05.rar https://ausfile.com/7qckqa22tv8f/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part06.rar https://ausfile.com/vznp2y3kytki/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part07.rar https://ausfile.com/aw2m2vhayyws/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part08.rar RapidGator https://rapidgator.net/file/054a5be12c9283fe772d9140ddff4137/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part01.rar https://rapidgator.net/file/d5b8057b1b2b84117c1c3163bdf37664/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part02.rar https://rapidgator.net/file/76f290d33c41a9fa40d4f11dbc24af8c/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part03.rar https://rapidgator.net/file/4a57d16844339384aecbc1a363c7d2cb/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part04.rar https://rapidgator.net/file/c01b09fedcee66ec6d6ee207815fa1f8/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part05.rar https://rapidgator.net/file/107236f31d18ff0b8742da0fdbfd79a2/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part06.rar https://rapidgator.net/file/d3f4c626a61e60d49e666fbdbdfb2265/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part07.rar https://rapidgator.net/file/05a73c9267a70b6bdde77e96bbd38074/yxusj.Udemy.-.Blazor.Deep.Dive.-.From.Beginner.to.Advanced.in..NET.8.1080.part08.rar

2.02 GB | 18min 40s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 -MCP Overview - What is Model Context Protocol.mp4 (25.53 MB) 2 -Get Code on Github & Why take this Course.mp4 (25.54 MB) 1 -Introduction - what are LLMs, Agents and MCP.mp4 (14.98 MB) 2 -Why A2A Protocol A2A vs MCP.mp4 (10.28 MB) 3 -Discovery - A2A Client, A2A Server, Agent Card.mp4 (36.54 MB) 4 -Initiation - Tasks, Messages, Parts.mp4 (25.93 MB) 5 -Processing - Artifacts, Streaming, Push Notifications, Non-streaming.mp4 (25.04 MB) 6 -Interaction - input-required state.mp4 (5.23 MB) 7 -Completion Flow & Summary of A2A.mp4 (22.85 MB) 1 -A2A Client and Server implementation with Agent Discovery and Tasks.mp4 (198.3 MB) 1 -Introduction to MCP Server and 1 Minute Preview of What We'll Build.mp4 (16.85 MB) 2 -Install Claude for Dektop.mp4 (11.46 MB) 3 -Install Python, UV and VS Code.mp4 (29.45 MB) 4 -Setup Project Directories and Files.mp4 (16.7 MB) 5 -MCP Server Python Code Walkthrough.mp4 (12.09 MB) 6 -Connect Your Server To Claude Desktop and Test it Out.mp4 (38.75 MB) 1 -Introduction to MCP Clients and Preview of What We'll Build.mp4 (28.51 MB) 2 -How to Get Free Gemini API Key.mp4 (18.65 MB) 3 -Setup Project Directories, Files & Install Google-GenAI SDK.mp4 (24.69 MB) 4 -MCP Client Python Code Walkthrough.mp4 (116.49 MB) 5 -Test Your MCP Client with Your MCP Server.mp4 (38 MB) 1 -Containerize your MCP Server Using Docker.mp4 (134.79 MB) 1 -Simplify client code with LangGraph & LangChain.mp4 (115.78 MB) 1 -Introduction to Config json for multiple server support.mp4 (8.13 MB) 2 -Let's look at the config json file.mp4 (6.58 MB) 3 -Demo - MCP Client with Multiple MCP Servers.mp4 (50.28 MB) 4 -MCP Client (with json config) Code Walk Through - Part 1.mp4 (32.72 MB) 5 -Why Choose Gemini 2 0 Flash and not the Pro Models.mp4 (7.23 MB) 6 -MCP Client (with json config) Code Walk Through - Part 2 (continued).mp4 (46.94 MB) 7 -How to use existing MCP servers from MCP Github (example uses fetch server).mp4 (38.45 MB) 1 -Introduction to SSE and Preview of What We'll Build.mp4 (4.56 MB) 2 -Quick Recap, What is STDIO and SSE.mp4 (11.83 MB) 3 -Setup Directories, Clone GitHub Code (git pull only, if done at course start).mp4 (10.44 MB) 4 -Setup Virtual Environment and Dependencies.mp4 (25.11 MB) 5 -MCP SSE Server Code Walkthrough.mp4 (105.31 MB) 6 -MCP SSE Client Code Walkthrough.mp4 (186.41 MB) 7 -Dockerfile Code (for MCP Server) Walkthrough.mp4 (8.66 MB) 8 -Test your MCP SSE Server and Client Locally.mp4 (26.02 MB) 1 -Create a new Gmail Account (if you prefer to).mp4 (13.47 MB) 2 -Create a Google Cloud Project.mp4 (17.81 MB) 3 -Install and Setup Google Cloud Command Line Interface (gcloud CLI).mp4 (64.65 MB) 4 -Build Docker Image for Google Cloud.mp4 (7.21 MB) 5 -Deploy MCP SSE Server to Google Cloud Run.mp4 (8.95 MB) 6 -Test MCP SSE Server on Google Cloud.mp4 (16.37 MB) 1 -Streamlit UI MCP Client Overview.mp4 (13.89 MB) 10 -Code for Utility Functions.mp4 (12.01 MB) 11 -Streamlit App Sidebar Code.mp4 (39.36 MB) 12 -Building the Main Chat UI for the App.mp4 (32.64 MB) 13 -Core Logic For Query Handling.mp4 (16.86 MB) 14 -Trigger Logic for Send and Other Chat Buttons.mp4 (16.74 MB) 15 -Streamlit App MCP Client Code.mp4 (84.91 MB) 16 -theailanguage config json and other files.mp4 (13.3 MB) 17 -Running the Streamlit UI.mp4 (2.56 MB) 2 -Streamlit UI Demo.mp4 (21.25 MB) 3 -Comparing our UI with Claude Desktop!.mp4 (2.27 MB) 4 -Install Python, UV and VS Code (skip if done earlier).mp4 (29.46 MB) 5 -Setup Directories (skip if done earlier).mp4 (7.62 MB) 6 -Setup Google Gemini API Key (verify again if done earlier).mp4 (13.58 MB) 7 -Create Virtual Environment and Install Dependencies.mp4 (19.64 MB) 8 -Get Streamlit UI Code.mp4 (11.53 MB) 9 -Streamlit App Imports and State Initialisation.mp4 (39.9 MB)] Screenshot AusFile https://ausfile.com/id93u2p2qtho https://ausfile.com/yaoifijqpucw https://ausfile.com/s006jsjzv990 RapidGator https://rapidgator.net/file/16abd5d224d0d7254d28ab6d9f4f235d/ https://rapidgator.net/file/8f5c52a28c259e6acffcdb8d4ed9ae2f/ https://rapidgator.net/file/8263c76beb8f0a048ea2784f2769948e/

6.56 GB | 6min 25s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 Welcome To This Course!.mp4 (13.38 MB) 2 What Exactly Is Generative AI (And ChatGPT).mp4 (4.27 MB) 3 About The Course.mp4 (22.71 MB) 4 Generative AI & Speed Of Innovation.mp4 (11.95 MB) 5 It's Not Just ChatGPT!.mp4 (9.55 MB) 6 It's Not Just About AI Chatbots!.mp4 (24.96 MB) 7 Results May Differ & Free Model Access May Be Limited.mp4 (10.2 MB) 1 Module Introduction.mp4 (24.28 MB) 10 How LLMs Use Tools.mp4 (64.05 MB) 11 Module Summary.mp4 (31.04 MB) 2 ChatGPT Is An Application Shell For LLMs.mp4 (74.31 MB) 3 LLMs & Neural Networks.mp4 (51.53 MB) 4 LLMs Are Token Prediction Machines!.mp4 (74.41 MB) 5 From Foundation To Assistant Models.mp4 (69.58 MB) 6 Onwards To Reasoning Models.mp4 (91.69 MB) 7 Understanding The Context Window & Limitations.mp4 (65.49 MB) 8 Beware Of Hallucinations!.mp4 (44.8 MB) 9 The Problem With The Knowledge Cutoff Date.mp4 (44.07 MB) 1 Module Introduction.mp4 (5.99 MB) 10 Generating Images with ChatGPT.mp4 (8.14 MB) 11 Using Canvas Mode.mp4 (27.25 MB) 12 Having ChatGPT Execute Code & QR Code Generation Example.mp4 (20.25 MB) 13 Tool Availability.mp4 (1.92 MB) 14 Understanding & Configuring Custom Instructions.mp4 (17.04 MB) 15 Key Settings, Memory & Privacy.mp4 (15.49 MB) 16 Working with ChatGPT Projects.mp4 (14.43 MB) 17 Scheduling Tasks.mp4 (9.7 MB) 18 Exploring GPTs (custom ChatGPT versions).mp4 (32.31 MB) 19 Creating our Own Custom GPT.mp4 (28.29 MB) 2 ChatGPT - Free vs Paid.mp4 (6.29 MB) 20 A More Realistic Custom GPT.mp4 (17.51 MB) 21 Module Summary.mp4 (2.12 MB) 3 A Tour Through The ChatGPT Interface.mp4 (35.75 MB) 4 Making Sense Of Models & The Model Picker.mp4 (35.92 MB) 5 Writing Prompts - The Basics.mp4 (27.49 MB) 6 Editing Prompts & Regenerating Responses.mp4 (56.37 MB) 7 Using Speech As Input.mp4 (21.67 MB) 8 Using Web Search in ChatGPT.mp4 (13.43 MB) 9 Using The Deep Research Tool.mp4 (11.15 MB) 1 Module Introduction.mp4 (6.81 MB) 2 Exploring Google Gemini.mp4 (29.25 MB) 3 Gemini, Web Search & Double Checking.mp4 (30.7 MB) 4 Using Gemini Indirectly Via Search.mp4 (13.98 MB) 5 Exploring Anthropic Claude.mp4 (11.46 MB) 6 Exploring Grok.mp4 (18.52 MB) 7 Exploring Microsoft Copilot.mp4 (28.96 MB) 1 Module Introduction.mp4 (4.18 MB) 2 Why Would You Use Open LLMs.mp4 (13.68 MB) 3 Finding & Understanding Open LLMs.mp4 (39.25 MB) 4 Hardware Requirements & Quantization.mp4 (54.02 MB) 5 Software Options For Running LLMs Locally & Installing LM Studio.mp4 (34.32 MB) 6 Example Use-Cases Text Summarization & Data Analysis.mp4 (8.77 MB) 7 Hosting Open Models.mp4 (6.61 MB) 1 Module Introduction.mp4 (4.11 MB) 10 Time To Practice Solution (33).mp4 (11.38 MB) 11 Onwards To Specific Prompt Engineering Techniques.mp4 (2.41 MB) 12 Zero-, One- & Few-Shot Prompting.mp4 (57.94 MB) 13 Finetuning vs Few-Shot Prompting.mp4 (12.39 MB) 14 Few-Shot Prompting To Control Output.mp4 (12.56 MB) 15 Using Delimiters To Structure Prompts.mp4 (10.06 MB) 16 Contextual Prompting & Including Relevant Data + Information.mp4 (43.36 MB) 17 Chain-of-Thought Prompting.mp4 (27.8 MB) 18 Reasoning Models & Chain-of-Thought Prompting.mp4 (15.52 MB) 2 Prompt Engineering What & Why.mp4 (8.3 MB) 20 Ask-Before-Answer Prompting.mp4 (15.92 MB) 21 Persona Prompting.mp4 (6.95 MB) 22 Self-reflective Prompting.mp4 (28.88 MB) 23 Negative Prompting.mp4 (6.63 MB) 24 Controlling The Output Format.mp4 (19.26 MB) 25 Let The AI Help You With Prompting!.mp4 (9.64 MB) 26 Using Provider-specific Prompt Guides.mp4 (12.24 MB) 27 Module Summary.mp4 (4.95 MB) 29 Time to Practice II Your Tasks.mp4 (8.45 MB) 3 Prompt Engineering & ChatGPT Custom Instructions.mp4 (10.45 MB) 30 Time To Practice II Solution (13).mp4 (4.7 MB) 31 Time To Practice II Solution (23).mp4 (9.03 MB) 32 Time To Practice II Solution (33).mp4 (6.18 MB) 33 Contextual Prompting.mp4 (7.56 MB) 34 Emotional Prompting.mp4 (3.19 MB) 35 Laddering Prompting.mp4 (11.62 MB) 36 Using ChatGPT For Prompting.mp4 (18.56 MB) 37 Find Out Which Information Is Missing.mp4 (7.07 MB) 38 Self-evaluative Prompting.mp4 (2.98 MB) 39 ChatGPT-powered Problem Splitting.mp4 (4.56 MB) 4 Prompt Engineering Goals.mp4 (11.05 MB) 40 Let ChatGPT Share Its Thought Process (Chain of Thought Prompting).mp4 (6.92 MB) 41 Reversing Roles.mp4 (6.17 MB) 42 More Prompts & Finding Prompt Inspirations.mp4 (23.83 MB) 43 Super Prompts Like CAN & DAN.mp4 (13.37 MB) 44 Module Summary.mp4 (7.06 MB) 5 The Core Elements Of A Good Prompt.mp4 (16.46 MB) 6 It's a Chat! Use it!.mp4 (10.58 MB) 7 Time To Practice Your Tasks.mp4 (6.06 MB) 8 Time To Practice Solution (13).mp4 (21.34 MB) 9 Time To Practice Solution (23).mp4 (24.12 MB) 1 Module Introduction.mp4 (4.76 MB) 10 Creating Illustrations.mp4 (7.27 MB) 11 Refining Images via Chat Messages.mp4 (21.13 MB) 12 Controlling Aspect Ratio.mp4 (7.19 MB) 13 Adding Text To Images.mp4 (7.65 MB) 14 Including Images In Prompts.mp4 (12.48 MB) 15 Generating Images Based On Other Images.mp4 (33.42 MB) 16 Demo Creating a Website Based on an Uploaded Image.mp4 (16.48 MB) 17 Generating Videos with AI & Sora.mp4 (123.12 MB) 18 Alternative AI Video Generation via Veo 2 & Limitations.mp4 (29.38 MB) 2 AI Image Generation - An Overview.mp4 (32 MB) 3 Generating Images with AI (ChatGPT).mp4 (32.39 MB) 4 It's Not Just ChatGPT - Exploring Alternatives.mp4 (7.41 MB) 5 A First Glimpse At Midjourney.mp4 (21.54 MB) 6 Integrated AI Generation (Example Photoshop).mp4 (20.49 MB) 7 Context Matters!.mp4 (26.4 MB) 8 Prompt Engineering Matters!.mp4 (13.62 MB) 9 It Also Has Limitations & Problems.mp4 (13 MB) 1 Module Introduction.mp4 (2.37 MB) 2 Researching Information with ChatGPT.mp4 (10.54 MB) 3 Summarizing Text & Information.mp4 (18.42 MB) 4 Translations & Tone Adjustments.mp4 (9.75 MB) 5 Using ChatGPT for Proofreading.mp4 (14.5 MB) 6 Writing Utility Scripts with ChatGPT.mp4 (12.84 MB) 1 Module Introduction.mp4 (2.86 MB) 10 What is Advanced Data Analysis & One Word About Restrictions.mp4 (17.72 MB) 11 How to Use the Advanced Data Analysis Feature.mp4 (7.15 MB) 12 Uploading Files & Restrictions Workaround.mp4 (21.15 MB) 13 Downloading Files.mp4 (5.16 MB) 14 Prompt Engineering & Result Limitation.mp4 (20.05 MB) 15 Forcing ChatGPT to Use Advanced Data Analysis.mp4 (4.51 MB) 16 Disabling the Code Editor for Specific Parts of the Task.mp4 (10.21 MB) 17 Extracting Data From Files.mp4 (3.58 MB) 18 Dummy Data Generation.mp4 (4.36 MB) 19 Data Analytics Intro.mp4 (6.39 MB) 2 Performing Web Search With AI.mp4 (6.14 MB) 20 Data Preparation with Advanced Data Analysis Support.mp4 (18.87 MB) 21 Analyzing & Visualizing Data.mp4 (9.69 MB) 22 Analyzing & Transforming Images.mp4 (10.35 MB) 23 Editing & Creating Images.mp4 (5.37 MB) 24 Using the Advanced Data Analysis for Optical Character Recognition (OCR).mp4 (4.79 MB) 3 Performing Deep Research.mp4 (40.19 MB) 4 Performing Data Analysis with AI.mp4 (9.12 MB) 5 Working with Charts.mp4 (3.85 MB) 6 Analyzing Unstructured Data.mp4 (10.48 MB) 7 Data Extraction & Checking For Hallucinations.mp4 (5.66 MB) 8 Exploring Canvas Mode.mp4 (17.26 MB) 1 Module Introduction.mp4 (2.32 MB) 10 Boosting Your Social Media Accounts with ChatGPT.mp4 (10.59 MB) 11 Preparing Interviews.mp4 (10.83 MB) 12 Revolutionizing Job-Related Writing.mp4 (4.3 MB) 13 Writing Outstanding CVs & Cover Letters for Your Next Application.mp4 (24.75 MB) 14 Creating Job Offers & Contracts.mp4 (11.97 MB) 15 Letting ChatGPT Find the Right Words in Emails.mp4 (5.06 MB) 16 Creating Sample Data with ChatGPT (e g JSON & CSV).mp4 (9.39 MB) 2 How Amazing Articles Can be Generated with ChatGPT.mp4 (6.39 MB) 3 Creating Articles - Step-By-Step.mp4 (9.13 MB) 4 Using a Single Prompt to Create Articles.mp4 (11.83 MB) 5 Finding Creative Titles & Summarizing Text in Seconds.mp4 (10.44 MB) 6 Brainstorming Content Articles, Blog Posts, Deep Dives & More.mp4 (4.97 MB) 7 Writing Professional (YouTube) Video Scripts with ChatGPT.mp4 (12.31 MB) 8 What is Copywriting.mp4 (3.14 MB) 9 Using ChatGPT as Copywriter.mp4 (10.08 MB) 1 Module Introduction.mp4 (2.23 MB) 10 Deleting Images From Midjourney.mp4 (5.73 MB) 11 Uploading & Describing Images.mp4 (42.32 MB) 12 Blending Images.mp4 (8.68 MB) 13 How To Continue.mp4 (16.99 MB) 3 Using Midjourney in Discord.mp4 (53.72 MB) 4 Creating our First Images.mp4 (74.38 MB) 5 Understanding Variations, Upscaling & Regenerations.mp4 (46.1 MB) 6 Editing Upscaled Images.mp4 (73.34 MB) 7 Exploring the Settings.mp4 (40.48 MB) 8 Your Prompts & Images are Public!.mp4 (38.68 MB) 9 Getting Inspired by Community Prompts.mp4 (64.28 MB) 1 Module Introduction.mp4 (2.37 MB) 10 Creating Photorealistic Food Images with Three Words.mp4 (20.9 MB) 11 Recreating Art & Artist Styles.mp4 (60.04 MB) 12 Recreating Movie Styles.mp4 (83.61 MB) 13 Understanding Parameters.mp4 (4.87 MB) 14 Parameters in Practice.mp4 (62.15 MB) 15 Creating Custom Options Custom Parameters with prefer.mp4 (53.5 MB) 16 Creating Reusable Prompt Templates with Custom Parameters.mp4 (16.52 MB) 17 Creating Icons.mp4 (19.11 MB) 18 The Remix Mode.mp4 (50.78 MB) 2 Different Version - Different Image.mp4 (17.08 MB) 3 Creating a Prompting Template.mp4 (34.29 MB) 4 Defining the Details.mp4 (32.88 MB) 5 The Medium From Photo to Comic to 3D-Animations.mp4 (41.49 MB) 6 Defining the Main Content of the Image.mp4 (33.19 MB) 7 Changing the Perspective.mp4 (11.18 MB) 8 Selecting an Image Style.mp4 (46.59 MB) 9 Working with The Background & the Atmosphere.mp4 (30.73 MB) 1 Module Introduction.mp4 (6.48 MB) 10 Adding Links to the Article.mp4 (20.79 MB) 11 Formatting as Markdown & Facing ChatGPT Limitations Problems.mp4 (64.56 MB) 12 Generating a YouTube Script.mp4 (21.87 MB) 13 Creating a Newsletter Email.mp4 (7.75 MB) 14 Generating a Tweet & Module Summary.mp4 (15.13 MB) 2 Generating A List Of Keywords (with Ask-Before-Answering).mp4 (11.25 MB) 3 Creating an Outline (Emotional Prompting + Laddering Technique).mp4 (8.76 MB) 4 Creating the Post (with Ask-Before-Answering).mp4 (9.25 MB) 5 Identifying Improvement Potential with ChatGPT.mp4 (29.29 MB) 7 Generating Images with Help of ChatGPT.mp4 (18.41 MB) 8 Generating a Thumbnail with Midjourney.mp4 (10.08 MB) 9 SEO with ChatGPT.mp4 (16.21 MB) 1 Module Introduction.mp4 (1.72 MB) 2 Getting Started with Dall-E 2 3.mp4 (50.66 MB) 3 Editing Images with Inpainting.mp4 (10.16 MB) 4 Expanding Images with Outpainting.mp4 (50.25 MB) 5 Editing Uploaded Images.mp4 (6.78 MB) 6 Introducing ElevenLabs' Generative Voice AI.mp4 (35.04 MB) 7 Recreating Your Voice with Generative AI.mp4 (9.73 MB) 1 Module Introduction.mp4 (1.97 MB) 10 Example Creating a Building Block with ChatGPT.mp4 (3.93 MB) 11 It's Still An Iterative Process!.mp4 (13.21 MB) 12 Don't Use ChatGPT For Everything!.mp4 (9.19 MB) 13 ChatGPT vs GitHub Copilot.mp4 (7.41 MB) 14 Reminder Use the Laddering Technique.mp4 (1.53 MB) 15 Merging Code with ChatGPT.mp4 (3.49 MB) 16 continue with Code Formatting.mp4 (6.59 MB) 17 Avoiding Unnecessary Explanations in ChatGPT Output.mp4 (7.6 MB) 18 Debugging with ChatGPT.mp4 (26.07 MB) 19 Letting ChatGPT Explain Code.mp4 (6.37 MB) 2 Using ChatGPT With & Without Programming Experience.mp4 (3.71 MB) 20 Generating Code Improvement Ideas with ChatGPT.mp4 (13.93 MB) 21 Refactoring with ChatGPT.mp4 (5.49 MB) 22 Generating Dummy Data with ChatGPT.mp4 (6.71 MB) 23 Module Summary.mp4 (13.56 MB) 3 Using ChatGPT For Building Entire Applications.mp4 (9.79 MB) 4 Using Generated Code & Letting ChatGPT Help You.mp4 (22.7 MB) 5 Iterative Development Test & Improve.mp4 (15.44 MB) 6 ChatGPT for Coding - Limitations.mp4 (6.42 MB) 7 Time to Practice Your Task.mp4 (2.6 MB) 8 Time to Practice Solution & An Example For Iterative Development.mp4 (22.48 MB) 9 ChatGPT With Coding Experience Prefer Building Blocks.mp4 (2.94 MB) 1 Module Introduction.mp4 (2.92 MB) 10 Creating a Basic REST API Skeleton.mp4 (8.68 MB) 11 Adding App Logic.mp4 (20.14 MB) 12 Testing the REST API.mp4 (24.29 MB) 13 Added Validation.mp4 (18.41 MB) 14 Adding Authentication.mp4 (19.4 MB) 15 Protecting Routes Against Unauthenticated Access.mp4 (19.6 MB) 16 Improving Error Handling & Identifying More Improvement Opportunities.mp4 (47.02 MB) 2 Non-Developers The Task & Target Application (Monster Slayer Game).mp4 (11.63 MB) 3 Building a Game - Initial Prompt & Base Game Code.mp4 (16.63 MB) 4 Game Enhancement & Bugfixing.mp4 (53.19 MB) 5 Adding Difficulty Levels.mp4 (29.32 MB) 6 Adding a Highscore.mp4 (15.05 MB) 7 Iterative Development - Improving The Game.mp4 (15.12 MB) 8 Using the Ask Before Answer Technique.mp4 (13.08 MB) 9 Developers The Task & Target Application.mp4 (21.42 MB) 1 Module Introduction.mp4 (26.52 MB) 10 Handling Dynamic User Input & Adding Instructions.mp4 (38.42 MB) 11 Building a Simple Chat.mp4 (28.6 MB) 12 Using The OpenAI SDK.mp4 (29.3 MB) 13 Onwards To Using Locally Running LLMs!.mp4 (13.07 MB) 14 Using Locally Running LLMs Programmatically.mp4 (13.32 MB) 16 Module Summary.mp4 (8.2 MB) 18 GPT 3 5 vs GPT 4 Choosing the Right API Model.mp4 (7.74 MB) 19 Understanding Tokens & API Pricing.mp4 (19.46 MB) 2 Comparing ChatGPT & The OpenAI APIs.mp4 (18.3 MB) 20 Prerequisites to Use the API.mp4 (19.01 MB) 21 Understanding the Difference between Completion & Chat Completion Endpoints.mp4 (4.21 MB) 22 Creating our First Python App Using the API.mp4 (7.97 MB) 23 Understanding the API Request.mp4 (9.88 MB) 24 Adding Parameters.mp4 (25.83 MB) 25 Understanding the API Response Object.mp4 (13.55 MB) 26 Why Roles Matter - Understanding System, User & Assistant.mp4 (4.98 MB) 27 Recreating a Simple ChatGPT Clone with Python & the API.mp4 (37.06 MB) 28 Creating a Text Summarization Tool.mp4 (17.48 MB) 29 Processing Text From Files & Create New Files with API Generated Content.mp4 (21.29 MB) 3 The OpenAI API & SDK Is The Industry Standard.mp4 (13.7 MB) 4 Section Logistics & Prerequisites.mp4 (6.83 MB) 5 An Example Project Setup.mp4 (5.01 MB) 6 Exploring the OpenAI API Documentation & Pricing.mp4 (15.13 MB) 7 Getting Started with Sending Requests.mp4 (22.44 MB) 8 Authenticating Requests With API Keys.mp4 (15.09 MB) 9 Sending Requests & Extracting Content From Responses.mp4 (25.55 MB) 1 Module Introduction.mp4 (2.62 MB) 10 A No-Code RAG Workflow Example.mp4 (23.38 MB) 11 RAG & CAG vs Few-Shot Prompting.mp4 (6.13 MB) 12 Introducing Finetuning.mp4 (8.32 MB) 13 RAG & CAG vs Finetuning.mp4 (6.8 MB) 14 Example Fintuning an OpenAI Model.mp4 (56.51 MB) 15 Module Summary.mp4 (3.94 MB) 2 What's The Problem.mp4 (3.52 MB) 3 Understanding RAG & CAG.mp4 (8.54 MB) 4 CAG - A Closer Look.mp4 (18.03 MB) 5 An Example CAG Workflow.mp4 (21.64 MB) 6 RAG - A Closer Look.mp4 (29.03 MB) 7 An Example RAG Workflow.mp4 (74.61 MB) 8 Onwards to No-Code Workflows Setting Up n8n.mp4 (32.93 MB) 9 A No-Code CAG Workflow Example.mp4 (114.45 MB) 1 Module Introduction.mp4 (1.65 MB) 10 Creating AI Agents Programmatically.mp4 (61.24 MB) 11 Defining Available Tools.mp4 (73.3 MB) 12 Building a Smart Agent (With Code).mp4 (63.53 MB) 2 AI Automations vs AI Agents.mp4 (5.89 MB) 3 Exposing Tools To AI Models.mp4 (23.24 MB) 4 Exploring Options For Building AI Agents.mp4 (3.86 MB) 5 Example Using n8n For Building Agents & Automations.mp4 (16.73 MB) 7 Understanding The Example n8n Workflow.mp4 (50.48 MB) 8 Example A No-Code AI Automation.mp4 (32.81 MB) 9 Example A No-Code AI Agent.mp4 (23.55 MB) 1 Module Introduction.mp4 (2.14 MB) 10 Introducing GitHub Copilot Chat.mp4 (15.71 MB) 11 Getting Started with GitHub Copilot Chat.mp4 (8.3 MB) 12 Explaining Code with GitHub Copilot Chat.mp4 (9.55 MB) 13 Generating Code with Copilot Chat.mp4 (15.35 MB) 14 Fixing Errors with Copilot Chat.mp4 (9.54 MB) 15 Generating Unit Tests with Copilot Chat.mp4 (8.07 MB) 16 GitHub Copilot Chat Summary & Flaws.mp4 (10.46 MB) 17 Introducing the Cursor IDE (AI-first IDE).mp4 (22.32 MB) 18 Using Cursor for Chat & Code Generation.mp4 (6.69 MB) 19 Using Cursor's Automatic Error Fixing Feature.mp4 (4.82 MB) 2 Important AI Tools & Privacy Data Sharing.mp4 (2.48 MB) 20 Generating (Dummy) Data With Cursor.mp4 (5.04 MB) 21 Changing Code with Cursor.mp4 (5.72 MB) 22 Building Complex Prompts with File & Documentation Context.mp4 (13.83 MB) 23 Fixing Runtime Errors with Cursor.mp4 (20.47 MB) 24 Module Summary.mp4 (2.86 MB) 3 Introducing & Installing GitHub Copilot.mp4 (17.18 MB) 4 The Starting Project Setup.mp4 (3.88 MB) 5 How GitHub Copilot Works & Can Be Used.mp4 (13.56 MB) 6 Copilot Prompt Engineering Triggering Completions via Variable Names.mp4 (12.68 MB) 7 Improving Suggestions via Function Names.mp4 (8.64 MB) 8 GitHub Copilot & Comment-based Prompting.mp4 (11.87 MB) 9 GitHub Copilot for CSS Styling - It's a Flexible Tool!.mp4 (20.04 MB) 1 Module Introduction.mp4 (1.79 MB) 10 Installing LangChain.mp4 (17.48 MB) 11 LangChain - First Steps.mp4 (15.22 MB) 12 Creating a First AI Tool with LangChain.mp4 (21.64 MB) 13 Using LangChain Agents For Automation.mp4 (33.06 MB) 14 Module Summary.mp4 (6.74 MB) 2 What is AutoGPT.mp4 (2.42 MB) 3 AutoGPT Overview & Prerequisites.mp4 (34.07 MB) 4 Installing AutoGPT.mp4 (9.56 MB) 5 Configuring AutoGPT.mp4 (26.31 MB) 6 Running AutoGPT.mp4 (19.66 MB) 7 Using AutoGPT For AI Automation.mp4 (108.1 MB) 8 AutoGPT Summary.mp4 (2.19 MB) 9 What is LangChain.mp4 (4.92 MB) 1 Course Roundup.mp4 (6.54 MB)] Screenshot AusFile https://ausfile.com/ovginn0t9iiu https://ausfile.com/txcqjbe4hw29 https://ausfile.com/sxe819ajyl9e https://ausfile.com/ev6iymaf90di https://ausfile.com/e3cez9tbr9ri https://ausfile.com/avfv74ueok3g https://ausfile.com/3j89w0o5rbmh https://ausfile.com/vsb9yts5l41o RapidGator https://rapidgator.net/file/b3d3118485422f55673d130c075f26ca/ https://rapidgator.net/file/f99c3bd3c05303e9a4d25a4b18f7ee9e/ https://rapidgator.net/file/e4b3cf165a8e00de21a72ae373bb5b27/ https://rapidgator.net/file/a18fbe3883d98deb2fc5777b23e8e596/ https://rapidgator.net/file/e5ff471cbae8a374ccf6c7f183ded0a6/ https://rapidgator.net/file/a9d7f3328045bc0db01b0df79d5bfeb9/ https://rapidgator.net/file/61f14f3ca5da03191bd0931d4bfff783/ https://rapidgator.net/file/630ebfb5f9c0e6baafb587c4dab18ecc/

4.36 GB | 00:29:46 | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 001 Modern Python Introduction.mp4 (46.69 MB) 002 Getting Set Up for the Course.mp4 (48.41 MB) 001 Topics.mp4 (4.85 MB) 002 1 1 Part 1.mp4 (150.42 MB) 003 1 2 Part 2.mp4 (114.89 MB) 001 Topics.mp4 (3.97 MB) 002 10 1 Part 1.mp4 (179.94 MB) 003 10 2 Part 2.mp4 (138.46 MB) 001 Topics.mp4 (17.46 MB) 002 11 1 Part 1.mp4 (203.37 MB) 003 11 2 Part 2.mp4 (255.03 MB) 001 Topics.mp4 (8.96 MB) 002 2 1 Part 1.mp4 (240.75 MB) 003 2 2 Part 2.mp4 (286.61 MB) 001 Topics.mp4 (9.74 MB) 002 3 1 Part 1.mp4 (135.31 MB) 003 3 2 Part 2.mp4 (155.33 MB) 001 Topics.mp4 (5.42 MB) 002 4 1 Part 1.mp4 (225.98 MB) 003 4 2 Part 2.mp4 (248.12 MB) 001 Topics.mp4 (7.13 MB) 002 5 1 Part 1.mp4 (108.52 MB) 003 5 2 Part 2.mp4 (170.62 MB) 001 Topics.mp4 (6.07 MB) 002 6 1 Part 1.mp4 (227.54 MB) 003 6 2 Part 2.mp4 (204.83 MB) 001 Topics.mp4 (9.91 MB) 002 7 1 Part 1.mp4 (164.56 MB) 003 7 2 Part 2.mp4 (152.22 MB) 001 Topics.mp4 (9.68 MB) 002 8 1 Part 1.mp4 (208.49 MB) 003 8 2 Part 2.mp4 (243.44 MB) 001 Topics.mp4 (7.45 MB) 002 9 1 Part 1.mp4 (217.46 MB) 003 9 2 Part 2.mp4 (232.08 MB) 001 Modern Python Summary.mp4 (14.17 MB)] Screenshot RapidGator https://rapidgator.net/file/dc7d6b02c49e09ceeacb5e95bacd0ebb/Oreilly_Modern_Python_LiveLessons_Big_Ideas_and_Little_Code_in_Python.part1.rar https://rapidgator.net/file/57351588f9f2054d6aa6b87186698535/Oreilly_Modern_Python_LiveLessons_Big_Ideas_and_Little_Code_in_Python.part2.rar https://rapidgator.net/file/f114fb72dd8483219c505e5370f4b163/Oreilly_Modern_Python_LiveLessons_Big_Ideas_and_Little_Code_in_Python.part3.rar https://rapidgator.net/file/ea21ac656c50ee22fd4ce8ccef297984/Oreilly_Modern_Python_LiveLessons_Big_Ideas_and_Little_Code_in_Python.part4.rar https://rapidgator.net/file/ee38e93e850aa4043b85b56885a5cde9/Oreilly_Modern_Python_LiveLessons_Big_Ideas_and_Little_Code_in_Python.part5.rar

4.67 GB | 23min 23s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 Introduction.mp4 (7.02 MB) 2 Learning Path.mp4 (5.52 MB) 1 Introduction to Client Part of the Course.mp4 (4.76 MB) 10 Add a Clause for Empty Users.mp4 (16.92 MB) 11 Showing Other User Fields in Listview.mp4 (23.28 MB) 12 Adding Edit and Delete Buttons.mp4 (23.36 MB) 3 Flutter Client App Demo.mp4 (47.12 MB) 4 Setting up Flutter Client Project.mp4 (40.51 MB) 5 Setup GraphQL Flutter Dependency - Part 1.mp4 (62.18 MB) 6 Setup GraphQL and Refactor HomeScreen - final.mp4 (66.42 MB) 7 Setting up Users Screen - Part 1.mp4 (48.54 MB) 8 Showing a Listview.mp4 (48.54 MB) 9 Getting Users from Our Remote GraphQL API.mp4 (112.41 MB) 1 Setting up the AddUser Screen - Creating the Form - Part 1.mp4 (97.47 MB) 2 Finish Setting up the Main Form.mp4 (76.46 MB) 3 Save a User - From the Flutter Client App.mp4 (107.75 MB) 4 Adding a Circular Progress Indicator on Save.mp4 (61.21 MB) 5 Insert a Hobby Form Setup - Part 1.mp4 (113.88 MB) 6 Saving a Hobby with a User.mp4 (59.56 MB) 7 Saving Posts with a User.mp4 (119.78 MB) 8 Adding the Done Button and Showing the Users Screen.mp4 (61.45 MB) 1 Create the Update Screen.mp4 (92.7 MB) 2 Update User.mp4 (89.72 MB) 3 Return to Homescreen.mp4 (26.42 MB) 1 Deleting a User.mp4 (81.26 MB) 2 Waterfall Delete Event.mp4 (5.97 MB) 3 Changing the User Query.mp4 (134.39 MB) 4 Getting all Posts and Hobbies Ids Upon User Deletion.mp4 (77.7 MB) 5 Setting up Hobbies Delete Mutation.mp4 (79.08 MB) 6 Remove User and Its Related Hobbies.mp4 (110.89 MB) 7 Removing a User and all Posts and Hobbies - Complete.mp4 (98.43 MB) 8 Running app on Android Emulator.mp4 (32.61 MB) 1 Introduction - The Details Screen Demo.mp4 (12.06 MB) 2 Setting up Details Screen - Showing Name.mp4 (71.39 MB) 3 Setting up Details Screen - Showing Age and Profession.mp4 (33.57 MB) 4 Setting up Hobbies and Posts Buttons.mp4 (70.65 MB) 5 Showing Hobbies onClick.mp4 (115.48 MB) 6 Dynamically Showing Post or Hobbies on Button Click.mp4 (74.94 MB) 7 Finishing up the Details Screen.mp4 (50.91 MB) 8 Client App Final Thoughts.mp4 (30.97 MB) 9 P S - Quick Code Refactor Example.mp4 (44.3 MB) 1 What's GraphQL.mp4 (21.59 MB) 2 Who Created GraphQL.mp4 (13.03 MB) 3 GraphQL - An Overview and Graph Theory.mp4 (26.05 MB) 4 GraphQL - Quick Demo.mp4 (37.91 MB) 1 Development tools - Setup.mp4 (20.32 MB) 10 The Resolve Method - Returning Data Back - Lodash Installation.mp4 (64.72 MB) 11 Adding a Hobby Type and RootQuery.mp4 (68.43 MB) 12 Adding the Post Type.mp4 (56.24 MB) 13 Adding Relationships Between Types.mp4 (14.59 MB) 14 Showing Users Relationship.mp4 (88.62 MB) 15 User Type Relationship to Hobby.mp4 (40.39 MB) 16 Posts Query.mp4 (52.03 MB) 17 Hobbies Query - Adding Fields.mp4 (25.19 MB) 3 Understanding the Basics of the IDE.mp4 (36.18 MB) 5 Setting up Our First Project.mp4 (53.57 MB) 6 Installing GraphQL and Express.mp4 (22.48 MB) 7 Install GraphQL and Express.mp4 (47.02 MB) 8 Creating and Understanding Schemas.mp4 (48.06 MB) 9 RootQuery and Running Queries on GraphiQL.mp4 (95.16 MB) 1 Introduction to Mutations.mp4 (3.88 MB) 2 Creating a User with Mutations.mp4 (75.74 MB) 3 Creating a Post with Mutations.mp4 (46.44 MB) 4 Creating a Hobby with Mutations.mp4 (48.97 MB) 5 Adding a Post Query.mp4 (49.01 MB) 6 Post and Hobby Queries.mp4 (33.94 MB) 1 Understanding Graphical Scalar Types.mp4 (68.98 MB) 2 Non Nullables.mp4 (28.65 MB) 3 Scalar Types and Object Types.mp4 (58.02 MB) 1 MongoDB and Relational Databases.mp4 (28.46 MB) 10 Finish Adding NonNulls to Other Fields.mp4 (12 MB) 2 Creating a MongoDB Atlas Account and Database Setup.mp4 (54.9 MB) 3 Setting up Project to Connect to MongoDB.mp4 (138.61 MB) 4 Create a User Model - Mongoose Models.mp4 (20.56 MB) 5 Create Hobby and Post Models.mp4 (25.23 MB) 6 Save a User & a Post.mp4 (121.82 MB) 7 Save a Hobby.mp4 (15.26 MB) 8 Getting Users and Hobbies and Posts.mp4 (40.5 MB) 9 Cors and Adding NonNulls to Required Fields.mp4 (55.99 MB) 1 Updating a User Type.mp4 (63.11 MB) 2 Updating a Post.mp4 (38.69 MB) 3 Update a Hobby.mp4 (64.81 MB) 4 Remove a User.mp4 (52.82 MB) 5 Remove Post and Hobby.mp4 (34.03 MB) 1 Introduction - Publishing the API to Remove Server.mp4 (7.82 MB) 2 Deploying Our API to Heroku Remote Server.mp4 (189.82 MB) 3 GraphQL Playground.mp4 (26.5 MB)] Screenshot AusFile https://ausfile.com/w46p7emm57iu https://ausfile.com/m5q6nn8np5cu https://ausfile.com/nud0c5jtsy1a https://ausfile.com/q2bgafil7hjo https://ausfile.com/nalde3u0hkba https://ausfile.com/cn7nuwuxxyq5 RapidGator https://rapidgator.net/file/b4dbd38ba5eb4c6c640b8da77bc11387/ https://rapidgator.net/file/e16ed0ddda901d64fb6850f9138cbbe4/ https://rapidgator.net/file/a9cde71270b170fd9cfe1eb336c5c64a/ https://rapidgator.net/file/2a61aeb91a81d932ac5b077ae8112595/ https://rapidgator.net/file/5cd1b12129e35a6ed03a1fca88cc4973/ https://rapidgator.net/file/e47104698f30df1bf776dd8d8b70a93b/

2.23 GB | 00:48:40 | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : Appendix B On debugging ChatGPT's code Starting Data Analyt.mp4 (11.16 MB) Appendix C On laziness and human errors Starting Data Analy.mp4 (5.29 MB) Chapter 1 Getting started with generative AIs for data anal.mp4 (73.85 MB) Chapter 1 Introduction to the use of generative AI in data.mp4 (40.14 MB) Chapter 1 Summary Starting Data Analytics with Generative A.mp4 (2.77 MB) Chapter 1 The role of generative AIs in data analytics Star.mp4 (72.85 MB) Chapter 2 A note on best practices Starting Data Analytics -01.mp4 (12.9 MB) Chapter 2 A note on best practices Starting Data Analytics.mp4 (14.11 MB) Chapter 2 Data cleaning Starting Data Analytics with Genera.mp4 (52.6 MB) Chapter 2 Exploratory data analysis Starting Data Analytics.mp4 (92.21 MB) Chapter 2 Getting started Starting Data Analytics with Gene.mp4 (42.29 MB) Chapter 2 Quality assessment structure Starting Data Analyt.mp4 (16.55 MB) Chapter 2 Summary Starting Data Analytics with Generative A.mp4 (4.21 MB) Chapter 2 Using generative AI to ensure sufficient data qua.mp4 (15.13 MB) Chapter 3 Analysis design Starting Data Analytics with Gene.mp4 (24.27 MB) Chapter 3 Descriptive analysis and statistical inference su.mp4 (34.73 MB) Chapter 3 Descriptive data analysis Starting Data Analytics.mp4 (124.67 MB) Chapter 3 Inferential analysis Starting Data Analytics with.mp4 (129.75 MB) Chapter 3 Summary Starting Data Analytics with Generative A.mp4 (2.95 MB) Chapter 4 Differences in sales performance and customer sat.mp4 (16.17 MB) Chapter 4 Order status Starting Data Analytics with Generat.mp4 (27.62 MB) Chapter 4 Performance of products in their categories and r.mp4 (13.57 MB) Chapter 4 Popularity of product categories Starting Data An.mp4 (78.6 MB) Chapter 4 Relationship between product attributes and the s.mp4 (30.6 MB) Chapter 4 Relationship between product, transaction, shippi.mp4 (42.59 MB) Chapter 4 Review scores distribution analysis Starting Data.mp4 (21.31 MB) Chapter 4 Summary Starting Data Analytics with Generative A.mp4 (2.98 MB) Chapter 4 Using generative AI for result interpretations St.mp4 (22.49 MB) Chapter 5 Basic text mining using generative AI Starting Da.mp4 (51.57 MB) Chapter 5 Co-occurrence analysis Starting Data Analytics wi.mp4 (31.86 MB) Chapter 5 Dictionary-based methods Starting Data Analytics.mp4 (84.36 MB) Chapter 5 Frequency analysis Starting Data Analytics with G.mp4 (84.97 MB) Chapter 5 Keyword search Starting Data Analytics with Gener.mp4 (172.15 MB) Chapter 5 Preparing for analysis Starting Data Analytics wi.mp4 (32.4 MB) Chapter 5 Summary Starting Data Analytics with Generative A.mp4 (8.85 MB) Chapter 6 Advanced text mining with generative AI Starting.mp4 (17.38 MB) Chapter 6 Sentiment analysis Starting Data Analytics with G.mp4 (180.47 MB) Chapter 6 Summary Starting Data Analytics with Generative A.mp4 (4.59 MB) Chapter 6 Text summarization Starting Data Analytics with G.mp4 (73.29 MB) Chapter 7 Cloud-based deployment Starting Data Analytics wi.mp4 (20.94 MB) Chapter 7 Code conversion Starting Data Analytics with Gene.mp4 (25.83 MB) Chapter 7 Improving code performance Starting Data Analytic.mp4 (50.74 MB) Chapter 7 Scaling and performance optimization Starting Dat.mp4 (64.18 MB) Chapter 7 Summary Starting Data Analytics with Generative A.mp4 (2.04 MB) Chapter 8 AI delusion and hallucination risks Starting Data.mp4 (48.76 MB) Chapter 8 Emergent risks Starting Data Analytics with Gener.mp4 (19.18 MB) Chapter 8 General best practices Starting Data Analytics wi.mp4 (82.33 MB) Chapter 8 Legal and compliance risks Starting Data Analytic.mp4 (14.59 MB) Chapter 8 Mitigating misinterpretation and miscommunication.mp4 (65.1 MB) Chapter 8 Model bias and fairness risks Starting Data Analy.mp4 (33.33 MB) Chapter 8 Privacy and security risks Starting Data Analytic.mp4 (60.9 MB) Chapter 8 Risk, mitigation, and tradeoffs Starting Data Ana.mp4 (28.08 MB) Chapter 8 Summary Starting Data Analytics with Generative A.mp4 (1.27 MB)] Screenshot RapidGator https://rapidgator.net/file/2e99571e1569f61bb455e86e2f628e59/Oreilly_Starting_Data_Analytics_with_Generative_AI_and_Python_Video_Edition.part1.rar https://rapidgator.net/file/0d581be96a2e7c8a5a0bb6895c00ded5/Oreilly_Starting_Data_Analytics_with_Generative_AI_and_Python_Video_Edition.part2.rar https://rapidgator.net/file/e08fa6258dd7111c9e3d5d4de00d2599/Oreilly_Starting_Data_Analytics_with_Generative_AI_and_Python_Video_Edition.part3.rar

705.06 MB | 00:23:56 | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 1 What Is PyTorch Up and Running with PyTorch.mp4 (17.95 MB) 1 10 Working with Devices Up and Running with PyTorch.mp4 (53.55 MB) 1 11 Components of a Learning Algorithm Up and Running with.mp4 (23.52 MB) 1 12 Introduction to Gradient Descent Up and Running with Py.mp4 (25.4 MB) 1 13 Getting to Stochastic Gradient Descent (SGD) Up and Run.mp4 (15.58 MB) 1 14 Comparing Gradient Descent and SGD Up and Running with.mp4 (30.34 MB) 1 15 Linear Regression with PyTorch Up and Running with PyTo.mp4 (130.23 MB) 1 16 Perceptrons and Neurons Up and Running with PyTorch.mp4 (32.76 MB) 1 17 Layers and Activations with torch nn Up and Running wit.mp4 (65.03 MB) 1 18 Multi-layer Feedforward Neural Networks (MLP) Up and Ru.mp4 (46.85 MB) 1 2 The PyTorch Layer Cake Up and Running with PyTorch.mp4 (36.46 MB) 1 3 The Deep Learning Software Trilemma Up and Running with.mp4 (23.74 MB) 1 4 What Are Tensors, Really Up and Running with PyTorch.mp4 (22.7 MB) 1 5 Tensors in PyTorch Up and Running with PyTorch.mp4 (39.98 MB) 1 6 Introduction to Computational Graphs Up and Running with.mp4 (25.16 MB) 1 7 Backpropagation Is Just the Chain Rule Up and Running wi.mp4 (34.89 MB) 1 8 Effortless Backpropagation with torch autograd Up and Ru.mp4 (56.75 MB) 1 9 PyTorch's Device Abstraction (i e , GPUs) Up and Running.mp4 (12.43 MB) Up and Running with PyTorch Introduction Up and Running with.mp4 (9.33 MB) Up and Running with PyTorch Summary Up and Running with PyTo.mp4 (2.42 MB)] Screenshot RapidGator https://rapidgator.net/file/931486f7381c7205aae2e6aa04655362/Oreilly..Up.and.Running.with.PyTorch.rar

299.33 MB | 00:11:02 | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 01 - Hands-on with advanced Python.mp4 (4.34 MB) 02 - What you should know.mp4 (2.24 MB) 03 - Getting set up Codespaces.mp4 (8.56 MB) 04 - CoderPad challenges.mp4 (7.17 MB) 05 - The sample weather data set.mp4 (2.53 MB) 01 - Loading and parsing JSON data.mp4 (17.7 MB) 02 - Basic data operations.mp4 (15.68 MB) 03 - Filtering data.mp4 (20.45 MB) 04 - Solution Filtering.mp4 (4.69 MB) 05 - Sorting data.mp4 (18.23 MB) 06 - Transforming data.mp4 (21.63 MB) 07 - Solution Transforms.mp4 (4.12 MB) 01 - Count values with defaultdict.mp4 (25.68 MB) 02 - Using the reduce function.mp4 (23.75 MB) 03 - Grouping data.mp4 (23.15 MB) 04 - Working with dates.mp4 (32.21 MB) 05 - Solution Collections.mp4 (4.72 MB) 01 - Random values.mp4 (18.41 MB) 02 - Random operations on sequences.mp4 (13.51 MB) 03 - Solution Random days.mp4 (4.54 MB) 04 - Statistical functions.mp4 (21.14 MB) 05 - Solution Detect outliers.mp4 (6.34 MB) 01 - Next steps.mp4 (922.62 KB)] Screenshot AusFile https://ausfile.com/3wkhmdj7mosp/LinkedIn.-.Hands-On.Advanced.Python.Data.Engineering.Basics.rar DDownload https://ddownload.com/m7p4h4vtda9f/LinkedIn.-.Hands-On.Advanced.Python.Data.Engineering.Basics.rar RapidGator https://rapidgator.net/file/b51b7da4eaf6d4fc8d2fdeb34b5cd927/LinkedIn.-.Hands-On.Advanced.Python.Data.Engineering.Basics.rar

230.85 MB | 00:10:56 | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 01 - Advancing your skills with SQL.mp4 (1.65 MB) 02 - What you should know.mp4 (732.48 KB) 03 - CoderPad introduction.mp4 (3.09 MB) 01 - Summarizing customer data for leadership.mp4 (3.1 MB) 02 - Combining aggregate functions with CTEs.mp4 (12.87 MB) 03 - Introduction to CTEs.mp4 (4.97 MB) 04 - Solution Pull descriptive statistics with a CTE.mp4 (15.64 MB) 05 - Solution Explore variable distributions with CTEs.mp4 (9.87 MB) 06 - Solution Payment funnel analysis with CTEs.mp4 (21.78 MB) 01 - Translating status codes into business acumen.mp4 (3.81 MB) 02 - Recoding and bucketing values using CASE.mp4 (7.71 MB) 03 - Introduction to CASE.mp4 (7.16 MB) 04 - Solution Creating binary columns with CASE.mp4 (9.28 MB) 05 - Solution Create aggregated columns with CASE.mp4 (15.58 MB) 01 - Combining multiple email lists.mp4 (4.99 MB) 02 - Combining multiple data sources with UNION.mp4 (7.96 MB) 03 - Introduction to UNION.mp4 (4.72 MB) 04 - Solution Combine product tables with UNION.mp4 (3.87 MB) 05 - Solution Unpivoting columns into rows using UNION.mp4 (6.04 MB) 01 - Dealing with hierarchical data.mp4 (1.86 MB) 02 - Relating users and admins using a self join.mp4 (9.59 MB) 03 - Introduction to self joins.mp4 (3.16 MB) 04 - Solution Employee-manager data with a self join.mp4 (13.87 MB) 05 - Solution Comparing rows within the same table.mp4 (12.27 MB) 01 - Pulling the most recent sales data.mp4 (3.21 MB) 02 - Rank(), row number(), and dense rank().mp4 (3.97 MB) 03 - Pulling the most recent sale with row number().mp4 (6.2 MB) 04 - Introduction to window functions.mp4 (4.74 MB) 05 - Solution Get running totals with window functions.mp4 (11.64 MB) 06 - Solution Timestamp differences with LEAD().mp4 (13.36 MB) 01 - Continuing on with SQL.mp4 (1.97 MB)] Screenshot AusFile https://ausfile.com/bfl0ysqfd1pk/LinkedIn.-.SQL.Hands-On.Practice.Solve.Business.Problems.rar DDownload https://ddownload.com/znwpw6dhzouc/LinkedIn.-.SQL.Hands-On.Practice.Solve.Business.Problems.rar RapidGator https://rapidgator.net/file/8454b8c3331b25d422b62fb6e5154388/LinkedIn.-.SQL.Hands-On.Practice.Solve.Business.Problems.rar

754.39 MB | 6min 37s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 -Introduction to PC Hardware.mp4 (22.22 MB) 2 -Tips on how to approach this course.mp4 (30.57 MB) 1 -Motherboard (The Backbone).mp4 (51.57 MB) 10 -Live Demo GPU.mp4 (23.65 MB) 11 -Power Supply (Keeping Everything Running).mp4 (39.75 MB) 12 -Live Demo Power Supply.mp4 (32.27 MB) 2 -Live Demo Motherboard.mp4 (41.8 MB) 3 -CPU (The Brain of the Computer).mp4 (38.12 MB) 4 -Live Demo CPU.mp4 (14.97 MB) 5 -RAM (Temporary Memory and Speed Booster).mp4 (40.37 MB) 6 -Live Demo RAM.mp4 (21.76 MB) 7 -Storage (HDD vs SSD - What's the Difference).mp4 (46.19 MB) 8 -Live Demo Storage.mp4 (24.3 MB) 9 -GPU (Graphics and Why it Matters).mp4 (35.13 MB) 1 -Cooling Systems (Fans, Liquid Cooling, and Airflow).mp4 (24.16 MB) 2 -PC Cases and Form Factors.mp4 (22.69 MB) 3 -Peripherals (Monitors, Keyboards, Mice, and More).mp4 (8.1 MB) 4 -Ergonomics in the world of PCs.mp4 (26.55 MB) 5 -Operating Systems.mp4 (12.02 MB) 6 -MacOS vs Windows.mp4 (19.21 MB) 1 -Security Fundamentals.mp4 (79.38 MB) 2 -Summary Lesson.mp4 (83.84 MB) 3 -Staying up to date.mp4 (15.77 MB)] Screenshot AusFile https://ausfile.com/5diylnyi1chp RapidGator https://rapidgator.net/file/81f24e1a28e632d31fd59b4bd812f99c/

Ultimate Web Scraping for Data Science Published 2/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 22h 43m | Size: 15.4 GB A complete guide for basic to advanced web scraping What you'll learn Learn the fundamentals, types, ethical considerations, advantages, and alternatives to web scraping. Understand how to create, explore, and utilize soup objects with Beautiful Soup, Requests, and pandas, culminating in a mini-project. Acquire skills in using Selenium for automating interactions with web pages, including locating elements, handling dropdowns, infinite scrolling, and dynamic co Master explicit and implicit waits, working with iframes and alerts, and optimizing scraping workflows for efficiency and reliability. Build two end-to-end projects, including scraping Yahoo Finance for stock data and extracting real estate listings, applying all learned skills in practical Requirements A computer with an internet connection and Python installed. This course is beginner-friendly, and all concepts will be explained from the ground up. Familiarity with Python, including variables, loops, and functions, is recommended but not mandatory. Description In an era where data drives decisions, the ability to extract valuable information from websites is an indispensable skill. "Webscraping for Data Science" is your comprehensive guide to mastering webscraping, empowering you to turn raw web data into actionable insights.This course is designed to take you from the basics to advanced concepts, ensuring you can confidently scrape both static and dynamic websites. You'll start with the fundamentals, exploring the types of webscraping, ethical considerations, and best practices. As you progress, you'll delve into practical tools like Beautiful Soup and Selenium, learning to navigate web pages, handle complex elements like dropdowns and infinite scrolling, and interact with dynamic content.What sets this course apart are the hands-on projects. You'll build two real-world applications: scraping stock market data from Yahoo Finance and gathering real estate listings. These projects will reinforce your skills and provide a portfolio-worthy showcase of your abilities.This course is ideal for aspiring data scientists, analysts, marketers, or anyone interested in working with web data. Basic Python knowledge is helpful but not mandatory, as we guide you step-by-step through each concept.By the end of this course, you'll have the expertise to extract and manipulate online data for data science, research, or business purposes.Join us today and unlock the power of webscraping to advance your career and stand out in your league! Who this course is for Aspiring Data Scientists and Analysts: Individuals looking to enhance their data collection skills and integrate webscraping into their data science workflows. Beginner Programmers: Learners with basic Python knowledge who want to explore webscraping as a new skill. Professionals in Marketing and Business: Those seeking to gather web data for market research, competitor analysis, or business intelligence. Students and Enthusiasts: Anyone curious about extracting and working with online data, regardless of their background. 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Revit Architecture Beginner To Advanced(Contractor Services) Published 5/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 17.74 GB | Duration: 16h 36m This Course is Suitable for Revit 2020 up to Revit 2024 What you'll learn 1) 2D to 3D model creation 2) Coordination 3) Extract the coordinated shop drawings and builders work 4) Prepare the builders work by using dynamo 5) Schedules and material take off extraction 6) Progress Monitoring Requirements Be able to read Architectural drawings Description In this course students will be familiar with the BIM services needed for the contractor to execute the architectural works on site with less time and less cost by providing the construction site with the coordinated shop drawings and exact material take off reports. So first we will learn the Revit basics of how to start a new project, setting up templates, and linking the designed drawings into our live model and creating views and levels, then we will learn how to create 3D models and all the tips, tricks and shortcuts needed to perform the work faster. then we will extract the shop drawings from the coordinated model and we will learn how to create schedules for the architectural categories, then we will reflect the site progress on the architectural model then we will extract progress monitoring report for all architectural elements. then we will learn how to reflect the site progress on the architectural elements, how to export progress monitoring sheets and finally how to prepare the final progress monitoring report . This course is aimed at complete beginners who have never used Revit before and want to increase their career options by learning Revit Architectural. The ideal students for this course are the Architectural engineers, BIM engineers, BIM drafters. Overview Section 1: Introduction Lecture 1 Introduction to BIM Lecture 2 Introduction to Course Project Lecture 3 Start New Project Lecture 4 Introduction to Revit Part 1 Lecture 5 Introduction to Revit Part 2 Lecture 6 General Settings, Selection and Modify Tools Section 2: 3D Model Creation Lecture 7 Link and Manage Structural Model Lecture 8 Revit Coordinates System Lecture 9 Setting Project Levels and Grids Lecture 10 Create Floor Plans and Link the Designed Drawings Lecture 11 View Template and View Range Lecture 12 Walls and Walls Slabs Connection Lecture 13 Floors and Floors Walls Connection Lecture 14 Partitions and Wall Finish Lecture 15 Wall Modifications and Skirting Lecture 16 Doors and Windows Lecture 17 Curtain Walls Lecture 18 Ceiling and MEP Fixtures Lecture 19 Model in Place Lecture 20 Roof Lecture 21 Stair, Stair Finish and Stair Floor Connection Lecture 22 Railing, Angle Fillet, Curve Stone and Road Marks Lecture 23 Ramp and Ramp Finish Lecture 24 TopoSolid and Toposurface Lecture 25 External Works and Landscape Features Lecture 26 Parking Accessories ,Toilet Accessories and Furniture Section 3: Coordination with other Disciplines Lecture 27 Architecture VS. Other Disciplines Lecture 28 MEP Builders Work Manually and by Dynamo Section 4: Shop Drawings Extraction Lecture 29 Shop Drawings 1 Lecture 30 Shop Drawings 2 Architectural Engineers,Architectural Draftsmen,Construction Engineers,BIM Engineers,BIM Draftsmen AusFile https://ausfile.com/gbbyc6pa5vo7/yxusj._Revit_Architecture_Beginner_to_Advanced_Contractor_Services.part01.rar https://ausfile.com/1wiv734nivcg/yxusj._Revit_Architecture_Beginner_to_Advanced_Contractor_Services.part02.rar https://ausfile.com/6ycu68zg21fs/yxusj._Revit_Architecture_Beginner_to_Advanced_Contractor_Services.part03.rar https://ausfile.com/hx95g5gyzjcx/yxusj._Revit_Architecture_Beginner_to_Advanced_Contractor_Services.part04.rar https://ausfile.com/dag1zvhsb99h/yxusj._Revit_Architecture_Beginner_to_Advanced_Contractor_Services.part05.rar https://ausfile.com/v11emwdfhblz/yxusj._Revit_Architecture_Beginner_to_Advanced_Contractor_Services.part06.rar 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Mastering Power Bi: From Data To Dynamic Dashboards Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 18.67 GB | Duration: 33h 37m Develop in-demand Power BI skills to enhance your data career and professional growth. Boost Skills for Career Growth. What you'll learn Introduction to Power BI - Overview of Power BI tools, interface, and its components. Power BI Desktop vs Power BI Service - Key differences and when to use each. Data Loading & Transformation (Power Query) - How to import, clean, and transform data. Data Modeling - Creating relationships, using DAX, and building a data model. Building Basic Visualizations - How to create bar charts, pie charts, and line charts. Advanced Visualizations - Using advanced charts like scatter plots, waterfall charts, and maps. Using DAX for Calculations - Understanding and writing basic to advanced DAX formulas. Power BI Report Design - Best practices for designing and organizing reports. Customizing Visuals with Themes - Applying and customizing themes to reports. Filters, Slicers, and Drillthrough - Enhancing interactivity in reports. Creating Dashboards - How to design and publish dashboards in Power BI Service. Publishing & Sharing Reports - How to share and collaborate on Power BI reports. Power BI Service Features - Creating workspaces, apps, and managing data sets. Row-Level Security (RLS) - Implementing security to control data access for users. Power BI Mobile App - Using Power BI reports and dashboards on mobile devices. Requirements Basic Computer Skills Familiarity with Excel (Optional but Helpful) No Prior Power BI Experience Required Access to a Windows PC or Laptop Stable Internet Connection Willingness to Learn Description Master Microsoft Power BI with this comprehensive course designed for aspiring data analysts, business intelligence professionals, and Excel users aiming to ELEVATE their data visualization skills. This program guides you through connecting to diverse data sources, transforming and cleaning data using Power Query, and constructing robust data models with DAX. You'll learn to create interactive dashboards and reports, implement Row-Level Security, and share insights via the Power BI Service. The curriculum emphasizes real-time analytics, mobile optimization, and collaborative features, ensuring you're equipped to make data-driven decisions effectively.By course completion, you'll be proficient in turning raw data into actionable insights, crafting executive dashboards, and automating reporting workflows. With Power BI's growing demand in the data analytics field, this course positions you to leverage its full potential for impactful business intelligence solutions.You'll also explore advanced data visualization techniques, time intelligence functions, custom visuals, and performance optimization tips that make your reports stand out. The course is packed with practical projects, case studies, and real-world examples to solidify your learning. Whether you're preparing for a Power BI certification, upgrading your resume, or improving business reporting skills, this course delivers all the tools and knowledge you need to become a Power BI expert. Overview Section 1: Introducing Microsoft Power Bi Lecture 1 Power Bi Introduction Lecture 2 Power Bi Installation Lecture 3 Adjusting Settings Lecture 4 Work Flow of Power Bi Lecture 5 Power Bi Helpful Resources Section 2: Connecting and Shaping Data Lecture 6 Front End vs back End Lecture 7 Types of Data Connectors Lecture 8 POWER QUERY EDITOR Lecture 9 Basic Data Transformations Lecture 10 Assignment-1-Table Transformation Assignment Lecture 11 Assignment-1-Table Transformation- Assignment Solution Lecture 12 Storage and Connection Mode Lecture 13 Connecting To Database Lecture 14 Website Data Gathering Lecture 15 Data profiling and QA Tools Lecture 16 Text Tools Transformation Lecture 17 Assignment-2-Text Tools Lecture 18 Assignment-2-Text-Tools-Solution Lecture 19 Numeric Tools Lecture 20 Assignment-3-Numeric Tools Lecture 21 Assignment-3-Numeric Tools-Solution Lecture 22 DATE AND TIME TOOLS Lecture 23 Change Type with Locale Lecture 24 Rolling Calendar Lecture 25 Assignment-4-Calendar tables Assignment Lecture 26 Assignment-4-Calender Tables-Solutions Lecture 27 Index and Conditional Column Lecture 28 Grouping and Aggregating Lecture 29 Pivoting and Unpivoting Lecture 30 Merging Queries Lecture 31 Appending Queries Lecture 32 Data Gathering From Folder Lecture 33 Data Source Settings Lecture 34 Refresh Button Lecture 35 Importing Excel Models Section 3: Creating a Data Model Lecture 36 Creating A Data Model Introduction Lecture 37 What is a Data Model Lecture 38 Database Normalization Lecture 39 Fact And Dimension Tables Lecture 40 Primary and Foreign Keys Lecture 41 Merged Table vs Relationships Lecture 42 Creating Table Relationship Lecture 43 Managing and Editing Relationship Lecture 44 Star and SnowFlake Schema Lecture 45 Assignment-1-Table Relationships Lecture 46 Assignment-1-Table Relationships- Solution Lecture 47 Active and Inactive Relationship Lecture 48 Relationship Cardinality Lecture 49 Connectng Multiple Fact Tables Lecture 50 Filter Context and Filter Flow Lecture 51 BiDirectional Filter and Ambiguity Lecture 52 Hide in Report View Lecture 53 Assignment-2-Filter Flow Lecture 54 Assignment-2-Filter Flow Solution Lecture 55 Model Layouts Lecture 56 Data Format and Category Lecture 57 Heirarchies Lecture 58 Assignment-3-Heirarchies Lecture 59 Assignment-3-Heirarchies-Solution Section 4: Calculated Field With DAX Lecture 60 DAX Introduction Lecture 61 Dax Vs M Code Lecture 62 Calculated Columns Lecture 63 Dax Measures Lecture 64 Implicit vs Explicit Measures Lecture 65 Quick Measures Lecture 66 Measure Tables Lecture 67 Filter Context Lecture 68 Dax Syntax and Operators Lecture 69 Common Function Category Lecture 70 Basic Math and Stats Function Lecture 71 Counting functions Lecture 72 Assignment-1-Maths and Stats Lecture 73 Assignment-1-Maths and Stats-Solutions Lecture 74 Conditional and Logical Functions Lecture 75 Switch Function Lecture 76 Assignment-2-Logical functions Lecture 77 Assignment-2-Logical functions-Solution Lecture 78 Text Functions Lecture 79 Assignment-3-Text functions Lecture 80 Assignment-3-Text functions-Solution Lecture 81 Date and Time Functions Lecture 82 Assignment-4-Date and Time Lecture 83 Assignment-4-Date and Time-Solutions Lecture 84 Joining Data with Related Lecture 85 Calculate Function Lecture 86 DAX Measure Totals Lecture 87 Assignment-5-Calculate Function Lecture 88 Assignment-5-Calculate Function-Solutions Lecture 89 ALL Function Lecture 90 Assignment-6-Calculate and ALL Lecture 91 Assignment-6-Calculate and ALL-Solution Lecture 92 Filter Functions Lecture 93 Iterator Functions Lecture 94 Assignment-7-Iterators Lecture 95 Assignment-7-Iterators-Solution Lecture 96 Time Intelligence Patterns Lecture 97 Assignment-8-Time Intelligence Lecture 98 Assignment-8-Time Intelligence-Solutions Section 5: Visualizing Dashboard Lecture 99 Dashboard Intro and three key questions Lecture 100 Dashboard Sketch Lecture 101 Adding Report Pages and objects Lecture 102 Naming and Grouping Objects Lecture 103 Cards and Multi Row Cards Lecture 104 Assignment-1-Cards Lecture 105 Assignment-1-cards-solution Lecture 106 Line Charts Lecture 107 Trend lines and Forecasts Lecture 108 Assignment-2-Line Charts Lecture 109 Assignment-2-Line Charts-Solution Lecture 110 KPI Visuals Lecture 111 Bar and Donut Charts Lecture 112 Filtering Options Lecture 113 Assignment-3-Donuts and Filters Lecture 114 Assignment-3-Donut Charts and Filters-Solution Lecture 115 Table and Matrix Visuals Lecture 116 Conditional Formatting Lecture 117 TOP N Filtering Lecture 118 Assignment-4-tables Lecture 119 Assignment-4-Tables-Solution Lecture 120 Top N Text Cards Lecture 121 Assignment-5-Top N Text Cards Lecture 122 Assignment-5-Top N Text Cards-Solution Lecture 123 Map Visuals Lecture 124 Slicers Lecture 125 Assignment-5-Slicers Lecture 126 Assignment-5-Slicers-Solution Lecture 127 HasOne Values Function Lecture 128 Gauge Chart Lecture 129 Advanced Conditional Formatting Lecture 130 Area Chart Visual Lecture 131 Drill Up and Drill Down Tools Lecture 132 Assignment-6-Drill up and Drill Down Lecture 133 Assignment-6-Drill Up and Drill Down-Solution Lecture 134 Drill Through Filters Lecture 135 Report Interactions Lecture 136 Assignment-7-Report Interactions Lecture 137 Assignment-7-Report Interactions-Solution Lecture 138 Bookmarks Lecture 139 Assignment-8-Bookmarks Lecture 140 Assignment-8-Bookmarks-Solution Lecture 141 Navigation Buttons Lecture 142 Slicer Panel Lecture 143 Parameters Lecture 144 Assignment-9-Field Parameters Lecture 145 Assignment-9-Field Parameters-Solution Lecture 146 Custom ToolTip Lecture 147 Power BI service Sign In Lecture 148 Importing Custom Visuals Lecture 149 Mobile Layout Lecture 150 Publishing Dashboard Section 6: Artificial Intelligence Lecture 151 Anomaly Detection Lecture 152 Smart Narrative Lecture 153 Q and A Visual Lecture 154 Decomposition Trees Lecture 155 Key Influencers Section 7: Optimization in Power BI Lecture 156 Pause Visuals Lecture 157 Optimization Preset Lecture 158 Apply all Slicers Button Lecture 159 Performance Analyzer Section 8: Power BI New Features and Updates Lecture 160 Power BI New Features and Updates For Beginners A Step-by-Step Guide to Building Interactive Reports and Dashboards,For Business Professionals Transform Raw Data into Strategic Insights for Better Decision-Making,For Data Analysts Advanced Techniques in Data Modeling, DAX, and Visualization,For Enterprise Teams Collaborate, Share, and Scale Business Intelligence Across Your Organization,For Career Advancement Develop In-Demand BI Skills to Propel Your Data Career Forward AusFile https://ausfile.com/4olfeqh3ftco/yxusj..-.Mastering.Power.BI.From.Data.to.Dynamic.Dashboards.part01.rar https://ausfile.com/s748vddqlkp4/yxusj..-.Mastering.Power.BI.From.Data.to.Dynamic.Dashboards.part02.rar https://ausfile.com/6df7p6bcdlux/yxusj..-.Mastering.Power.BI.From.Data.to.Dynamic.Dashboards.part03.rar 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Fundamentals Of Backend Engineering Last updated 5/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 15.29 GB | Duration: 17h 2m Understand backend communication design patterns, protocols, execution and proxying What you'll learn Learn the fundamentals of backend engineering Backend communication design patterns Understand how backend communication protocols work Comprehend how OS Kernel communicate with Backend Applications Operating System fundamentals (Thread, Process, async IO in linux) Learn HTTP/1.1, HTTP/2, HTTP/3 Learn gRPC, WebRTC, WebSockets Learn TLS 1.2, TLS 1.3, QUIC 0RTT Requirements Intermediate programming skills (1-2 years) Having built a backend application Basic network fundamentals Description Backend engineering is an art. During my 18 years career working with and building backend applications, I discovered that certain communication design patterns keep emerging. There are only handful of ways clients communicate with backend applications, although they might be more, I believe the patterns I discuss in this course are the most common. Examples of these patterns are request-response, publish-subscribe, short and long and push.Based on these communication design patterns, engineers may use a number of protocols for concrete communication. While core transport vehicles are limited to either TCP or UDP, tons of industry specific protocols are built on top of these two to address certain problems and use cases. Examples of these high level protocols are HTTP/1.1, HTTP/2, HTTP/3, gRPC, WebRTC and many more. Other transport protocols like QUIC was built on top of UDP to bring HTTP/2 streaming down at the transport level. Each protocol has its pros and cons and fits certain use cases. In the course, I discuss the top common protocols and provide examples and demos where applicable.Before the client can send a request, it has to establish a connection to the backend. Understanding how the connection is established, and what parts of connection establishment is done at kernel and what parts are done at the backend application process is critical. How the connection is then accepted by the backend application and how it can accept connections as fast as possible so the kernel queue doesn't get full otherwise clients can no longer connect.After the connection is established the client sends the request, but what happens exactly in the backend application to read the request? What exactly is a request? Understanding the cost of parsing a request based on the protocol makes the engineer appreciate the work done and equip her with better tools to troubleshoot performance problems or bugs.Once the request reaches the backend, the application has to execute the request. The backend has a buffet of design choices when it comes to the style of execution it can choose. Understanding the difference between a process and a thread, multi-process, multi-threaded and the correlation to the number of CPU cores or hardware threads is crucial to pick the right execution pattern. One does not have to stick with these patterns but can invent new ones that suits their needs.This course is designed for engineers who have built backend applications, it is an intermediate - advance level course, certain programming and networking knowledge is required so I recommend taking my fundamentals of network engineering course before taking this course if you don't have the networking skills. I hope you enjoy this course, and thank you so much for considering it. Overview Section 1: Introduction Lecture 1 Welcome Lecture 2 Who is this course for? Lecture 3 Course Outline Lecture 4 Course Notes Lecture 5 Download all slides, source code and references Section 2: Backend Communication Design Patterns Lecture 6 Backend Communication Design Patterns Intro Lecture 7 Request Response Lecture 8 Synchronous vs Asynchronous workloads Lecture 9 Push Lecture 10 Polling Lecture 11 Long Polling Lecture 12 Server Sent Events Lecture 13 Publish Subscribe (Pub/Sub) Lecture 14 Multiplexing vs Demultiplexing (h2 proxying vs Connection Pooling) Lecture 15 Stateful vs Stateless Lecture 16 Sidecar Pattern Section 3: Protocols Lecture 17 Protocols Intro Lecture 18 Protocol Properties Lecture 19 OSI Model Lecture 20 Internet Protocol Lecture 21 UDP Lecture 22 TCP Lecture 23 TLS Lecture 24 HTTP/1.1 Lecture 25 WebSockets Lecture 26 HTTP/2 Lecture 27 HTTP/3 Lecture 28 gRPC Lecture 29 WebRTC Section 4: Many ways to HTTPS Lecture 30 HTTPS Communication Basics Intro Lecture 31 HTTPS over TCP with TLS 1.2 Lecture 32 HTTPS over TCP with TLS 1.3 Lecture 33 HTTPS over QUIC (HTTP/3) Lecture 34 HTTPS over TFO with TLS 1.3 Lecture 35 HTTPS over TCP with TLS 1.3 and 0RTT Lecture 36 HTTPS over QUIC with 0RTT Section 5: Backend Execution Patterns Lecture 37 Backend Execution Patterns Intro Lecture 38 The Process and The Thread and how they compete for CPU time Lecture 39 How The Backend Accepts Connections Lecture 40 Reading and Sending Socket Data Lecture 41 The Listener, The Acceptor and the Reader Lecture 42 Single Listener, Acceptor and Reader Thread Execution Pattern Lecture 43 Single Listener, Acceptor and Multiple Readers Thread Execution Pattern Lecture 44 Single Listener, Acceptor, Reader with Message Load Balancing Execution Pattern Lecture 45 Multiple Accepter Threads on a Single Socket Execution Pattern Lecture 46 Multiple Listeners, Acceptors and Readers with Socket Sharding Execution Pattern Lecture 47 Backend Idempotency Lecture 48 Nagle's Algorithm Section 6: Proxying and Load Balancing Lecture 49 Proxy vs Reverse Proxy Lecture 50 Layer 4 vs Layer 7 Load Balancers Section 7: Extras Lecture 51 How ChatGPT uses Server Sent Events Lecture 52 How I design software Lecture 53 The Journey of a Request to the Backend Lecture 54 The Journey of a Request to the Backend (Video) Lecture 55 JSON Web Token (JWT), its Pros and Cons Section 8: Answering Your Questions Lecture 56 How does the Kernel manage backend connections? 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Embedded System Design with Xilinx Zynq SoC and Vitis IDE Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 4.5 GB | Duration: 9h 29m Using Xilinx Vivado Design Suite and Vitis 2020.2 What you'll learn Embedded System Design flow for Zynq AP SoC using Xilinx VITIS Fundamentals strategies to use Xilinx Drivers Development of C applications for Zynq Devices Software Profiling with Vitis Software and Hardware Debugging Strategies Working with Interrupts Requirements Understanding of Digital Electronics Fundamentals of Computer Architecture Fundamentals of C Description Xilinx Zynq SoC's are know to provide maximum performance per watt along with maximum reconfiguration flexibility. Zynq family features Dual-Core ARM Cortex A9 processors tightly coupled with the 7-series FPGA to enable faster communication interfaces development with ARM Design flow and hardware acceleration. Zynq devices are available in two categories viz. Zynq-7000s family FPGA for the cost-effective application such as IoT related applications while Zynq 7000 family FPGA are best for high-performance applications such as Embedded Vision etc. The Zynq 7000s comes with Single core ARM while Zynq 7000 comes with Dual-Core ARM. This course covers fundamentals of Popular Xilinx drivers viz. UART, AXI Timers, UART16550, AXI GPIO, AXI BRAM, etc. The course also illustrates the usage of the AXI interrupt controller for handling Interrupts. Also to felicitate incorporation of Hardware accelerators with Zynq based design few examples on building Custom AXI Peripherals are also included. Software and Hardware Debugging, Profiling fundamentals are demonstrated with Zynq to felicitate performance measurement. This course will create the foundation necessary to quickly start building applications on Zynq FPGA devices without prior experience in this domain. The entire course is a Lab-based course with a major focussed on building skills necessary to handle simple peripherals such as GPIO, Intermediate Peripherals such as UART PS, AXI BRAM, and complex Peripherals such as AXI Interrupt Controller, AXI Timers, GIC etc. Who this course is for Anyone wish to build expertise in Xilinx Zynq APSOC and Xilinx VITIS Environment Embedded System Design with FPGA Processors DDownload https://ddownload.com/av05el6s2rn2/yxusj.Udemy.-.Embedded.System.Design.with.Xilinx.Zynq.SoC.and.Vitis.IDE.part1.rar https://ddownload.com/s2osfifkbjjs/yxusj.Udemy.-.Embedded.System.Design.with.Xilinx.Zynq.SoC.and.Vitis.IDE.part2.rar https://ddownload.com/7agoxc3d4px4/yxusj.Udemy.-.Embedded.System.Design.with.Xilinx.Zynq.SoC.and.Vitis.IDE.part3.rar https://ddownload.com/vzorvjmsypp3/yxusj.Udemy.-.Embedded.System.Design.with.Xilinx.Zynq.SoC.and.Vitis.IDE.part4.rar https://ddownload.com/zejr2tcnceyn/yxusj.Udemy.-.Embedded.System.Design.with.Xilinx.Zynq.SoC.and.Vitis.IDE.part5.rar https://ddownload.com/y025p5t2x3y4/yxusj.Udemy.-.Embedded.System.Design.with.Xilinx.Zynq.SoC.and.Vitis.IDE.part6.rar AusFile https://ausfile.com/nam5hwmuhjg3/yxusj.Udemy.-.Embedded.System.Design.with.Xilinx.Zynq.SoC.and.Vitis.IDE.part1.rar https://ausfile.com/f9e73yh79c0w/yxusj.Udemy.-.Embedded.System.Design.with.Xilinx.Zynq.SoC.and.Vitis.IDE.part2.rar https://ausfile.com/tko8yey4m9k0/yxusj.Udemy.-.Embedded.System.Design.with.Xilinx.Zynq.SoC.and.Vitis.IDE.part3.rar https://ausfile.com/cqucelw5h97v/yxusj.Udemy.-.Embedded.System.Design.with.Xilinx.Zynq.SoC.and.Vitis.IDE.part4.rar https://ausfile.com/869j11jhdhzc/yxusj.Udemy.-.Embedded.System.Design.with.Xilinx.Zynq.SoC.and.Vitis.IDE.part5.rar https://ausfile.com/o4x1autz2h0x/yxusj.Udemy.-.Embedded.System.Design.with.Xilinx.Zynq.SoC.and.Vitis.IDE.part6.rar RapidGator https://rapidgator.net/file/4e1d15b288841e34c3cf0d0b0198544f/yxusj.Udemy.-.Embedded.System.Design.with.Xilinx.Zynq.SoC.and.Vitis.IDE.part1.rar https://rapidgator.net/file/f9639f3d676d8a3692da253438c7ef52/yxusj.Udemy.-.Embedded.System.Design.with.Xilinx.Zynq.SoC.and.Vitis.IDE.part2.rar https://rapidgator.net/file/3cb032075d9865bc7d8366715a8cd942/yxusj.Udemy.-.Embedded.System.Design.with.Xilinx.Zynq.SoC.and.Vitis.IDE.part3.rar https://rapidgator.net/file/6c3d374e495adf4fb98c0e2dc0feb398/yxusj.Udemy.-.Embedded.System.Design.with.Xilinx.Zynq.SoC.and.Vitis.IDE.part4.rar https://rapidgator.net/file/10bfc981b340117a6567b4081afc54dc/yxusj.Udemy.-.Embedded.System.Design.with.Xilinx.Zynq.SoC.and.Vitis.IDE.part5.rar https://rapidgator.net/file/1d8430c0ac26053e28bd1b5723b53ee7/yxusj.Udemy.-.Embedded.System.Design.with.Xilinx.Zynq.SoC.and.Vitis.IDE.part6.rar

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