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Automotive Sensor & Actuator Technology - A Beginner Course MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 5 lectures (1h 39m) | Size: 458.5 MB Sensor Technology / Autonomous cars / electric vehicle sensors / Brake control actuators / Automotive electronics What you'll learn: What is a Sensor in automotive perspective ? Principal requirements on automotive sensors Sensor technologies in Engine Management systems Sensor technologies in vehicle control systems Sensors and requirements for autonomous vehicle technologies Role of Actuators in automotive systems Variety of actuator technologies Summary of sensor and actuator technology in modern Automotive industry. Requirements A very basic knowledge of automotive components is sufficient to successfully complete this course. Description This course is designed for giving a overall knowledge on various sensor and actuator technologies applied in the modern automotive systems like electric and autonomous mobility. The course discusses in detail each physical principle behind every sensor and actuator technology by using good mixture of graphics and pictorial representations. Realtime examples from the automotive systems and subsystems give a better understanding about the application of each sensor and actuator technologies. The course also discusses on various demanding requirements for an ideal sensor and actuator technology in the automotive industry compared to the other industrial applications. Various actuator mechanisms like electromechanical, electrohydraulic and electromagnetic that are applied in the automotive systems are also discussed in detail. The course not only focuses on the application in the modern internal combustion engine technologies but also the application and requirements of these sensors in the new age mobility areas like electric and autonomous mobility. The importance of three layered sensored approach in automated driving and the important topics like sensor fusion are also discussed. Overall the intention of this course is to give the participant a complete awareness on the various science and technologies involved in the field of sensors and actuators for the automotive industry. The candidates who attend this program will be able to apply the various physical principles learned throughout the course in a variety of fields. Who this course is for Anyone who is looking to understand the sensor and actuator technologies and principles behind modern automotive vehicles https://nitro.download/view/AF2F997E24F4D1C/_Automotive_Sensor_%26_Actuator_Technology_-_A_Beginner_Course.rar https://rapidgator.net/file/b728c42e662a68b15134e843bfd90ddc/_Automotive_Sensor_&_Actuator_Technology_-_A_Beginner_Course.rar.html https://uploadgig.com/file/download/cd07b9d66Ec7c9db/_Automotive_Sensor__Actuator_Technology_-_A_Beginner_Course.rar

Amazon Private Label Selling Overview for 2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz Language: English | Size: 719 MB | Duration: 2h 23m What you'll learn How to sell private label products on Amazon in 2021 Requirements You will need to be eligible to set up an Amazon account. Description This course is a detailed overview about selling on Amazon using the private label method and covers the following subjects: The top 3 selling methods Why sell using the private label method What you need to get started A strong business mindset to keep your business going strong Setting up an account so you can get started Finding product ideas that will be profitable Sourcing products and getting them to Amazon so you can start selling Setting up listings that will make customers feel like they MUST have your product Making it easy for customers to find your listings Running your business like the professional entrepreneur you are The private label method of selling is the most profitable method of selling on Amazon. In the beginning, this is also the most challenging method. The initial investment is higher than other selling methods, and you have to wait longer to see a return. Long-term, this method has the potential to become the easiest method, along with the most profitable. When you sell using the private label method, you establish a new brand. This is exciting, but not always easy. It takes work, creativity, and patience in the beginning. As long as you are willing to work hard in the short-term, you can successfully build your own brand and develop products that will sell almost automatically in the long-run. Once your products are set up, all you have to do is occasionally reorder and regularly collect your profits! Who this course is for: New and aspiring Amazon sellers who want to sell on Amazon via the private label method https://nitro.download/view/75108D9C8DEA1E1/_Amazon_Private_Label_Selling_Overview_for_2021.rar https://rapidgator.net/file/cb57d734fb274e761d7e76b954569342/_Amazon_Private_Label_Selling_Overview_for_2021.rar.html https://uploadgig.com/file/download/6526608a64be9536/_Amazon_Private_Label_Selling_Overview_for_2021.rar

Learn AWS QuickSight Data Visualization and Analytics MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 41 lectures (1h 56m) | Size: 557.4 MB Introduction to AWS QuickSight with practical lab exercises; Create Visualizations & dashboards & Analytics What you'll learn: Level Up from beginner to confident Data Analyst. Gain fundamental understanding of data visualization and analytics. Deal with data manipulation and transformation Importing Data from different source Experience working with cloud service Drafting reports and analysis. Learn to use multiple visualization structures for presenting data Creating, publishing and sharing your own dashboards Learn AWS Quicksight from experienced professional data analysts. Requirements A computer (Windows, Mac, or Linux) No prior knowledge of AWS Quicksight is required. No programming experience needed. Description This course covers the basic to advanced data visualization techniques. It is designed for students having no or very little experience in the field of data analytics. The course is divided into 11 modules. Starting from the very basic introduction of data visualization and data analytics and explains the difference amongst the two. Later the course covers all steps for setting the accounts of AWS and Quicksight to allow the students to get started using the visualization tool. Followed by an introduction of both AWS and Quicksight and a detailed overview of the tool. All the major types of visualizations and analysis are covered which are dealt by data analysts on a day to day basis alongwith the types of data that is represented effectively using these visuals . Importing data from multiple sources, data preparation and transformation is covered in this course. Visualization structures such as tables and pivot tables are covered in depth with the help of various lab sessions. To be able to add calculated fields using the existing data is a very strong pursuit of a data analyst, this aspect has been covered in depth and repeatedly throughout the lab sessions. Then there are some important features of Quicksight namely, filters and controls which are explained accompanied with their respective types using practical examples. Each section is covered using the practical lab sessions. The course has a capstone project at the end which explains the start to end workflow of data visualization using Quicksight, after which the student is able to gain practical insight to the course. By the end of this course students will emerge with a solid understanding of data visualization and analytics using AWS Quicksight and hands-on experience designing analysis and visualization. All the lab resources for this course can be found on our git repository. Who this course is for Anyone interested in learning visualization and data analytics Anyone who wants to enter the field of analytics and visualization Higher Management who want to expand their horizon by learning data visualization and analytics to make smart business decisions Freelancers or other creative professionals https://nitro.download/view/4FFD53CB75AACF4/_Learn_AWS_QuickSight_Data_Visualization_and_Analytics.rar https://rapidgator.net/file/75139f60472c0b4ad4ece59670d88d32/_Learn_AWS_QuickSight_Data_Visualization_and_Analytics.rar.html https://uploadgig.com/file/download/0942eAd56e956A9A/_Learn_AWS_QuickSight_Data_Visualization_and_Analytics.rar

Amazon Private Label Selling Overview for 2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz Language: English | Size: 719 MB | Duration: 2h 23m What you'll learn How to sell private label products on Amazon in 2021 Requirements You will need to be eligible to set up an Amazon account. Description This course is a detailed overview about selling on Amazon using the private label method and covers the following subjects: The top 3 selling methods Why sell using the private label method What you need to get started A strong business mindset to keep your business going strong Setting up an account so you can get started Finding product ideas that will be profitable Sourcing products and getting them to Amazon so you can start selling Setting up listings that will make customers feel like they MUST have your product Making it easy for customers to find your listings Running your business like the professional entrepreneur you are The private label method of selling is the most profitable method of selling on Amazon. In the beginning, this is also the most challenging method. The initial investment is higher than other selling methods, and you have to wait longer to see a return. Long-term, this method has the potential to become the easiest method, along with the most profitable. When you sell using the private label method, you establish a new brand. This is exciting, but not always easy. It takes work, creativity, and patience in the beginning. As long as you are willing to work hard in the short-term, you can successfully build your own brand and develop products that will sell almost automatically in the long-run. Once your products are set up, all you have to do is occasionally reorder and regularly collect your profits! Who this course is for: New and aspiring Amazon sellers who want to sell on Amazon via the private label method https://nitro.download/view/75108D9C8DEA1E1/_Amazon_Private_Label_Selling_Overview_for_2021.rar https://rapidgator.net/file/cb57d734fb274e761d7e76b954569342/_Amazon_Private_Label_Selling_Overview_for_2021.rar.html https://uploadgig.com/file/download/6526608a64be9536/_Amazon_Private_Label_Selling_Overview_for_2021.rar

Email Marketing Mastery - The Complete Email Masterclass MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 10 lectures (36m) | Size: 756.4 MB Learn What It Takes to Make Email Marketing a Success For Your Business What you'll learn: How To Generate Revenue For Your Business Sending Emails The Best Practices When Crafting Emails What To Offer Your Email List And How Email Sequence Automation How To Grow Your Email List With Targeted Leads How To Design High Converting Landing Pages And Much, Much More! Requirements None Description Email marketing is the core foundation for generating revenue for your business. Studies from multiple online sources continues to find sending emails as the best marketing channel that generates the most profit.beating social media and paid advertising, year after year. But so many people are unaware of this. Imagine being able to sit in front of your computer, Start sending emails to your list and watch the revenue that they generate for your business. However, the only way you'll see success with email marketing is if you build effective campaigns along with sending the right emails to the right people - And that's what this course is all about. This course is for internet marketers, Bloggers, Or any online business owner who want to use email marketing to grow their business. It doesn't matter if you've done email marketing in the past, Or if you've never used a email marketing platform before, This course will help you understand everything that you need to know. Too many people just focus on social media these days. But as you'll see in this course, Email marketing has many unique and powerful advantages, Which is why it's absolutely essential for maximizing your success. So if you're ready to start generating revenue through your own email marketing campaigns simply join the course and we can begin... I look forward to seeing you inside! Who this course is for Anyone who is interested in generating revenue for their business using email marketing https://nitro.download/view/39338B3CF39DBCD/_Email_Marketing_Mastery_-_The_Complete_Email_Masterclass.rar https://rapidgator.net/file/ff5158c6ce1921614f477075e9825855/_Email_Marketing_Mastery_-_The_Complete_Email_Masterclass.rar.html https://uploadgig.com/file/download/0d1e24D4Aef8405E/_Email_Marketing_Mastery_-_The_Complete_Email_Masterclass.rar

Laracasts - How to Build Command-Line Apps Jeffrey Way | Duration: 0h 44m | Video: H264 1728x1080 | Audio: AAC 48 kHz 2ch | 207 MB | Language: English In this series, we'll learn how to build command-line apps from scratch, using Symfony's excellent console component. In no time, you'll be whipping up executables to perform all sorts of tasks. https://nitro.download/view/B734A8CC9FE3581/_How_to_Build_Command-Line_Apps.rar https://rapidgator.net/file/dd247fc42726b2355932185b10f4698a/_How_to_Build_Command-Line_Apps.rar.html https://uploadgig.com/file/download/a800a6aFc4E6d5fB/_How_to_Build_Command-Line_Apps.rar

Laracasts - How to Build Command-Line Apps Jeffrey Way | Duration: 0h 44m | Video: H264 1728x1080 | Audio: AAC 48 kHz 2ch | 207 MB | Language: English In this series, we'll learn how to build command-line apps from scratch, using Symfony's excellent console component. In no time, you'll be whipping up executables to perform all sorts of tasks. https://nitro.download/view/B734A8CC9FE3581/_How_to_Build_Command-Line_Apps.rar https://rapidgator.net/file/dd247fc42726b2355932185b10f4698a/_How_to_Build_Command-Line_Apps.rar.html https://uploadgig.com/file/download/a800a6aFc4E6d5fB/_How_to_Build_Command-Line_Apps.rar

Full Stack Development With Cassandra,Spring Boot, Angular 7 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 40 lectures (1h 55m) | Size: 738.6 MB Cassandra, Spring Boot, Angular 7, Docker, Intellij, Eclipse, Full stack development, CRUD operations What you'll learn: Cassandra Spring Boot Angular 7 Requirements Basic Java Knowledge Description In this course, we will create an application with Spring Boot (server side), Angular 7 (Client Side) and Cassandra (Database). In our course, we will create an online e-education application. In this application, we will implement Cassandra for some statistical parameters... With Spring Boot 2, We can use reactive modules like Cassandra, MongoDB... in Spring Boot. So we will learn how we can use them together... In Angular 7, we will implement bootstrap and Angular material components... We won't need any infrastructure as prerequest because we will implement our system with Docker... Who this course is for https://rapidgator.net/file/35ca856476eede6bbc53fa0fd343b810/_Clojure's_Core_Syntax_(Programming_Language).rar.html https://uploadgig.com/file/download/E8bEc20cdBf3ca9F/_Clojures_Core_Syntax_Programming_Language.rar

A Complete Guide to Time Series Analysis & Forecasting in R MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 142 lectures (10h 33m) | Size: 3.75 GB A comprehensive time series analysis and forecasting course using R What you'll learn: Explore and visualize time series data. Apply and interpret time series regression results. Understand various methods to forecast time series data. Use general forecasting tools and models for different forecasting situations. Utilize statistical program to compute, visualize, and analyze time series data in economics, business, and the social sciences. Use benchmark methods of time series forecasting. Use methods for checking whether a forecasting method has adequately utilized the available information. Forecast using exponential smoothing methods. Stationarity, ADF, KPSS, differencing, etc. Forecast using ARIMA, SARIMA, and ARIMAX. Learn through plenty of rigorous examples and quizzes. Requirements A computer with R and Rstudio. Basic knowledge of statistical terms, e.g., mean, median, mode, standard deviation, variance, etc. Preferably, some knowledge of R programming. Description Forecasting involves making predictions. It is required in many situations: deciding whether to build another power generation plant in the next ten years requires forecasts of future demand; scheduling staff in a call center next week requires forecasts of call volumes; stocking an inventory requires forecasts of stock requirements. Forecasts can be required several years in advance (for the case of capital investments) or only a few minutes beforehand (for telecommunication routing). Whatever the circumstances or time horizons involved, forecasting is an essential aid to effective and efficient planning. This course provides an introduction to time series forecasting using R. No prior knowledge of R or data science is required. Emphasis on applications of time-series analysis and forecasting rather than theory and mathematical derivations. Plenty of rigorous examples and quizzes for an extensive learning experience. All course contents are self-explanatory. All R codes and data sets and provided for replication and practice. At the completion of this course, you will be able to Explore and visualize time series data. Apply and interpret time series regression results. Understand various methods to forecast time series data. Use general forecasting tools and models for different forecasting situations. Utilize statistical programs to compute, visualize, and analyze time-series data in economics, business, and the social sciences. You will learn Exploring and visualizing time series in R. Benchmark methods of time series forecasting. Time series forecasting forecast accuracy. Linear regression models. Exponential smoothing. Stationarity, ADF, KPSS, differencing, etc. ARIMA, SARIMA, and ARIMAX (dynamic regression) models. Other forecasting models. Who this course is for This course is for you if you are interested in solving economics, business, and the social sciences problems using data. This course is for you if you are interested in learning problem solving using a statistical program. This course is for you if you have basic knowledge of R language or are willing to learn the basic of R. https://nitro.download/view/D7263069BF31ECA/_A_Complete_Guide_to_Time_Series_Analysis_%26_Forecasting_in_R.part1.rar https://nitro.download/view/A441A7E97D8EAE3/_A_Complete_Guide_to_Time_Series_Analysis_%26_Forecasting_in_R.part2.rar https://nitro.download/view/9DDD18C7A9FBB48/_A_Complete_Guide_to_Time_Series_Analysis_%26_Forecasting_in_R.part3.rar https://nitro.download/view/6BD06A10A78E0AD/_A_Complete_Guide_to_Time_Series_Analysis_%26_Forecasting_in_R.part4.rar https://rapidgator.net/file/dec07e221a07d7cb3afb7b0d19219a37/_A_Complete_Guide_to_Time_Series_Analysis_&_Forecasting_in_R.part1.rar.html https://rapidgator.net/file/b8c0d3630fe2413e5e4296f920151bba/_A_Complete_Guide_to_Time_Series_Analysis_&_Forecasting_in_R.part2.rar.html https://rapidgator.net/file/ccf4a4277e397fe2a955ebeff202376e/_A_Complete_Guide_to_Time_Series_Analysis_&_Forecasting_in_R.part3.rar.html https://rapidgator.net/file/6ff0dd1be3149a7c26f7458137cb586f/_A_Complete_Guide_to_Time_Series_Analysis_&_Forecasting_in_R.part4.rar.html https://uploadgig.com/file/download/29cab6B51452Cf56/_A_Complete_Guide_to_Time_Series_Analysis__Forecasting_in_R.part1.rar https://uploadgig.com/file/download/887b2b17cfd9Eba8/_A_Complete_Guide_to_Time_Series_Analysis__Forecasting_in_R.part2.rar https://uploadgig.com/file/download/355e53825778dc2d/_A_Complete_Guide_to_Time_Series_Analysis__Forecasting_in_R.part3.rar https://uploadgig.com/file/download/bbC7542Dc6fE564b/_A_Complete_Guide_to_Time_Series_Analysis__Forecasting_in_R.part4.rar

A Complete Guide to Time Series Analysis & Forecasting in R MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 142 lectures (10h 33m) | Size: 3.75 GB A comprehensive time series analysis and forecasting course using R What you'll learn: Explore and visualize time series data. Apply and interpret time series regression results. Understand various methods to forecast time series data. Use general forecasting tools and models for different forecasting situations. Utilize statistical program to compute, visualize, and analyze time series data in economics, business, and the social sciences. Use benchmark methods of time series forecasting. Use methods for checking whether a forecasting method has adequately utilized the available information. Forecast using exponential smoothing methods. Stationarity, ADF, KPSS, differencing, etc. Forecast using ARIMA, SARIMA, and ARIMAX. Learn through plenty of rigorous examples and quizzes. Requirements A computer with R and Rstudio. Basic knowledge of statistical terms, e.g., mean, median, mode, standard deviation, variance, etc. Preferably, some knowledge of R programming. Description Forecasting involves making predictions. It is required in many situations: deciding whether to build another power generation plant in the next ten years requires forecasts of future demand; scheduling staff in a call center next week requires forecasts of call volumes; stocking an inventory requires forecasts of stock requirements. Forecasts can be required several years in advance (for the case of capital investments) or only a few minutes beforehand (for telecommunication routing). Whatever the circumstances or time horizons involved, forecasting is an essential aid to effective and efficient planning. This course provides an introduction to time series forecasting using R. No prior knowledge of R or data science is required. Emphasis on applications of time-series analysis and forecasting rather than theory and mathematical derivations. Plenty of rigorous examples and quizzes for an extensive learning experience. All course contents are self-explanatory. All R codes and data sets and provided for replication and practice. At the completion of this course, you will be able to Explore and visualize time series data. Apply and interpret time series regression results. Understand various methods to forecast time series data. Use general forecasting tools and models for different forecasting situations. Utilize statistical programs to compute, visualize, and analyze time-series data in economics, business, and the social sciences. You will learn Exploring and visualizing time series in R. Benchmark methods of time series forecasting. Time series forecasting forecast accuracy. Linear regression models. Exponential smoothing. Stationarity, ADF, KPSS, differencing, etc. ARIMA, SARIMA, and ARIMAX (dynamic regression) models. Other forecasting models. Who this course is for This course is for you if you are interested in solving economics, business, and the social sciences problems using data. This course is for you if you are interested in learning problem solving using a statistical program. This course is for you if you have basic knowledge of R language or are willing to learn the basic of R. https://nitro.download/view/D7263069BF31ECA/_A_Complete_Guide_to_Time_Series_Analysis_%26_Forecasting_in_R.part1.rar https://nitro.download/view/A441A7E97D8EAE3/_A_Complete_Guide_to_Time_Series_Analysis_%26_Forecasting_in_R.part2.rar https://nitro.download/view/9DDD18C7A9FBB48/_A_Complete_Guide_to_Time_Series_Analysis_%26_Forecasting_in_R.part3.rar https://nitro.download/view/6BD06A10A78E0AD/_A_Complete_Guide_to_Time_Series_Analysis_%26_Forecasting_in_R.part4.rar https://rapidgator.net/file/dec07e221a07d7cb3afb7b0d19219a37/_A_Complete_Guide_to_Time_Series_Analysis_&_Forecasting_in_R.part1.rar.html https://rapidgator.net/file/b8c0d3630fe2413e5e4296f920151bba/_A_Complete_Guide_to_Time_Series_Analysis_&_Forecasting_in_R.part2.rar.html https://rapidgator.net/file/ccf4a4277e397fe2a955ebeff202376e/_A_Complete_Guide_to_Time_Series_Analysis_&_Forecasting_in_R.part3.rar.html https://rapidgator.net/file/6ff0dd1be3149a7c26f7458137cb586f/_A_Complete_Guide_to_Time_Series_Analysis_&_Forecasting_in_R.part4.rar.html https://uploadgig.com/file/download/29cab6B51452Cf56/_A_Complete_Guide_to_Time_Series_Analysis__Forecasting_in_R.part1.rar https://uploadgig.com/file/download/887b2b17cfd9Eba8/_A_Complete_Guide_to_Time_Series_Analysis__Forecasting_in_R.part2.rar https://uploadgig.com/file/download/355e53825778dc2d/_A_Complete_Guide_to_Time_Series_Analysis__Forecasting_in_R.part3.rar https://uploadgig.com/file/download/bbC7542Dc6fE564b/_A_Complete_Guide_to_Time_Series_Analysis__Forecasting_in_R.part4.rar

WordPress Web Development Course For Beginners MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz Language: English | Size: 4.69 GB | Duration: 9h 27m What you'll learn My Students will learn how to develop a website using WordPress, with no previous coding or web development experience. Requirements Must have basic computer knowledge Must know how to navigate the internet Description This is a 9 and a half hour beginners level course for anyone who wants to create their own website using WordPress, or any developer starting out, and wants to learn a bit more about WordPress. In this course, you will learn how to create your own website, using the powerful content management system, WordPress. I will take you through everything from A to Z, so even if you have never even thought about creating a website, once you have completed my course, you will know how to develop your own website. Your should be able to create a blogging site or even a website for your business. What you will learn from taking this course: What is WordPress There are two (2) types of WordPress platforms, get to know the difference between them How to set up WordPress on your local server, so you can develop your website without a domain or hosting provider. I will give you (2) two alternative platforms to use to develop your website on your local server. What is a domain and web hosting How to register your domain and sign up for web hosting How to install WordPress in your web hosting account, using cPanel Getting to know your WordPress dashboard How to get your WordPress site ready for development How to create posts (for use in blogging websites, or websites with a blog page) How to create pages How to create menus How to set your homepage Giving your site a name and tagline How to create a site icon How to install a WordPress theme How to install plugins What is Elementor page builder and how to use it How to create a custom header and footer How to build your own sidebar How to create a template of a page or post to use when creating future pages and posts on your WordPress website Using Elementor to create responsive (websites which are compatible to all devices and browsers) website How to link your pages together How to create links to your social media pages How to set up a contact form How to create a backup of your WordPress website, the right way How to set your website up on your hosting account, if you developed it from your local server How to speed up your website by using free WordPress plugins How to import starter templates or demo websites to change into your own website Where to find premium plugins and themes This is just to mention some of the things you will learn during this course. This course will surely make you at ease to easily create your own website without any previous experience or knowledge of coding. Happy learning. Who this course is for: Anyone who want to learn how to create a basic website Beginner web developers Web developers with little to no previous experience with WordPress Web developers of any level who want to just get a refresher on everything WordPress https://nitro.download/view/822879106CCD407/_WordPress_Web_Development_Course_For_Beginners.part1.rar https://nitro.download/view/5E638EAAF11F6BD/_WordPress_Web_Development_Course_For_Beginners.part2.rar https://nitro.download/view/D6DB466520F2A67/_WordPress_Web_Development_Course_For_Beginners.part3.rar https://nitro.download/view/BF4076D98FBB136/_WordPress_Web_Development_Course_For_Beginners.part4.rar https://rapidgator.net/file/47aca44c745941b14aa4a4db84e28472/_WordPress_Web_Development_Course_For_Beginners.part1.rar.html https://rapidgator.net/file/a78ed7ac7bf2555c761dd7a607e3d71d/_WordPress_Web_Development_Course_For_Beginners.part2.rar.html https://rapidgator.net/file/180c52ab82900a0a6174ce5579fef323/_WordPress_Web_Development_Course_For_Beginners.part3.rar.html https://rapidgator.net/file/70e662a7b129b444e7655554b018d9ea/_WordPress_Web_Development_Course_For_Beginners.part4.rar.html https://rapidgator.net/file/59b44622d18c6c113948bc163496fa28 /_WordPress_Web_Development_Course_For_Beginners.part5.rar.html https://uploadgig.com/file/download/85b0e1e2133B6898/_WordPress_Web_Development_Course_For_Beginners.part1.rar https://uploadgig.com/file/download/d363656ba437e845/_WordPress_Web_Development_Course_For_Beginners.part2.rar https://uploadgig.com/file/download/1d08c39610494b88/_WordPress_Web_Development_Course_For_Beginners.part3.rar https://uploadgig.com/file/download/6e56635d6B4877B9/_WordPress_Web_Development_Course_For_Beginners.part4.rar https://uploadgig.com/file/download/ea7E1777E695a9f5/_WordPress_Web_Development_Course_For_Beginners.part5.rar

Learn- Python for Beginners 2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz Language: English | Size: 2.41 GB | Duration: 9h 55m What you'll learn Students will learn about what and why Python Details on Python Setup, Python shell, Python datatypes & variables Functions in Python Learn about Python Built-In Functions, Operators Control flow statements, Classes in Python, Data Structures in Python Students will learn Exception Handling, Modules Reading from and writing to Files and all about Standard Python libraries Requirements Basics in Any Programming Language Basic Computer Knowledge Basics in Python such as 'loops, variables, conditions and statements'(knowing any other language would be an added advantage) Basics in Python (knowing basic C++,C and a bit about network programming would be an added advantage) Description This is a beginner course on Python Programming in which you will learn about Introduction to Python Programming, Lists & Tuples and Strings. This course is for those who want to learn how to program in python. It is intended to suit a wide audience, though not for absolute beginners. This course is targeted towards people who already have basic in either python or any other programming language. The training will include the following; Why Python? Python Setup Python shell Python datatypes & variables Functions in Python Python Built-In Functions Operators Control flow statements Classes in Python Data Structures in Python Exception Handling Modules Reading from and writing to Files Standard Python libraries Python is a high-level and general-purpose programming language and is interpreted. It is of a strong and dynamic type of discipline. It was designed by Guido van Rossum. It has functional, object-oriented and imperative features. It has file extensions such as .py or .pyd or .pyc etc. The code and syntax of Python are highly readable compared to other programming languages. Python is easy to learn, read and maintain and has interactive mode features and provides better scalability and supports GUI applications. It supports structured and functional programming. It was licensed under the Python Software Foundation License. It first appeared in the year 1990. It was influenced by several other programming languages such as C, C++, Java, Haskell, Modula, Perl, etc. Python has several types of data structures like Lists, Dictionary, Tuples, Strings, Numbers, etc. It has Functions, Modules, Exceptions, File I/O. Python has several libraries for different functionalities, Database and Networking features, Advanced GUI programming, Testing. It has also automatic memory management and garbage collection. Who this course is for: Anyone who wants to build projects using Python Students/Professionals interested in programming https://nitro.download/view/1D1DDA5B4A6072D/_Python_for_Beginners.part1.rar https://nitro.download/view/77B98B8646E38EE/_Python_for_Beginners.part2.rar https://nitro.download/view/34E4DA81679658C/_Python_for_Beginners.part3.rar https://rapidgator.net/file/8edbfeda845303aa8f3ed589923cfa7e/_Python_for_Beginners.part1.rar.html https://rapidgator.net/file/6e80086090fbcd8627784ca195aaad5a/_Python_for_Beginners.part2.rar.html https://rapidgator.net/file/daa2b4fbd670dbfc3fa6326d5647677f/_Python_for_Beginners.part3.rar.html https://uploadgig.com/file/download/b9393a6301BAAe4b/_Python_for_Beginners.part1.rar https://uploadgig.com/file/download/114c85dace19a4e1/_Python_for_Beginners.part2.rar https://uploadgig.com/file/download/a73dCdfa5341449E/_Python_for_Beginners.part3.rar

Learn- Python for Beginners 2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz Language: English | Size: 2.41 GB | Duration: 9h 55m What you'll learn Students will learn about what and why Python Details on Python Setup, Python shell, Python datatypes & variables Functions in Python Learn about Python Built-In Functions, Operators Control flow statements, Classes in Python, Data Structures in Python Students will learn Exception Handling, Modules Reading from and writing to Files and all about Standard Python libraries Requirements Basics in Any Programming Language Basic Computer Knowledge Basics in Python such as 'loops, variables, conditions and statements'(knowing any other language would be an added advantage) Basics in Python (knowing basic C++,C and a bit about network programming would be an added advantage) Description This is a beginner course on Python Programming in which you will learn about Introduction to Python Programming, Lists & Tuples and Strings. This course is for those who want to learn how to program in python. It is intended to suit a wide audience, though not for absolute beginners. This course is targeted towards people who already have basic in either python or any other programming language. The training will include the following; Why Python? Python Setup Python shell Python datatypes & variables Functions in Python Python Built-In Functions Operators Control flow statements Classes in Python Data Structures in Python Exception Handling Modules Reading from and writing to Files Standard Python libraries Python is a high-level and general-purpose programming language and is interpreted. It is of a strong and dynamic type of discipline. It was designed by Guido van Rossum. It has functional, object-oriented and imperative features. It has file extensions such as .py or .pyd or .pyc etc. The code and syntax of Python are highly readable compared to other programming languages. Python is easy to learn, read and maintain and has interactive mode features and provides better scalability and supports GUI applications. It supports structured and functional programming. It was licensed under the Python Software Foundation License. It first appeared in the year 1990. It was influenced by several other programming languages such as C, C++, Java, Haskell, Modula, Perl, etc. Python has several types of data structures like Lists, Dictionary, Tuples, Strings, Numbers, etc. It has Functions, Modules, Exceptions, File I/O. Python has several libraries for different functionalities, Database and Networking features, Advanced GUI programming, Testing. It has also automatic memory management and garbage collection. Who this course is for: Anyone who wants to build projects using Python Students/Professionals interested in programming https://nitro.download/view/1D1DDA5B4A6072D/_Python_for_Beginners.part1.rar https://nitro.download/view/77B98B8646E38EE/_Python_for_Beginners.part2.rar https://nitro.download/view/34E4DA81679658C/_Python_for_Beginners.part3.rar https://rapidgator.net/file/8edbfeda845303aa8f3ed589923cfa7e/_Python_for_Beginners.part1.rar.html https://rapidgator.net/file/6e80086090fbcd8627784ca195aaad5a/_Python_for_Beginners.part2.rar.html https://rapidgator.net/file/daa2b4fbd670dbfc3fa6326d5647677f/_Python_for_Beginners.part3.rar.html https://uploadgig.com/file/download/b9393a6301BAAe4b/_Python_for_Beginners.part1.rar https://uploadgig.com/file/download/114c85dace19a4e1/_Python_for_Beginners.part2.rar https://uploadgig.com/file/download/a73dCdfa5341449E/_Python_for_Beginners.part3.rar

Laracasts - Learn Inertia With Jeffrey John Danaher | Duration: 1h 30m | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 518 MB | Language: English Inertia.js allows you to build single-page applications, while still allowing Laravel to be responsible for routing, controllers, authorization, policies, and more. Think of it like the glue that connects a server-side framework like Laravel, to a client-side framework like Vue. Despite all the hype, I'm only just now taking a first look at all that Inertia has to offer. If you're in the same position, why don't you come along and we'll learn it together? https://nitro.download/view/76ACD922FB7BF5D/Learn_Inertia_With_Jeffrey.rar https://rapidgator.net/file/7267728c93a80fe10c26a1d821bf9057/Learn_Inertia_With_Jeffrey.rar.html https://uploadgig.com/file/download/51c178aa8Aa5d667/Learn_Inertia_With_Jeffrey.rar

Laracasts - Learn Inertia With Jeffrey John Danaher | Duration: 1h 30m | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 518 MB | Language: English Inertia.js allows you to build single-page applications, while still allowing Laravel to be responsible for routing, controllers, authorization, policies, and more. Think of it like the glue that connects a server-side framework like Laravel, to a client-side framework like Vue. Despite all the hype, I'm only just now taking a first look at all that Inertia has to offer. If you're in the same position, why don't you come along and we'll learn it together? https://nitro.download/view/76ACD922FB7BF5D/Learn_Inertia_With_Jeffrey.rar https://rapidgator.net/file/7267728c93a80fe10c26a1d821bf9057/Learn_Inertia_With_Jeffrey.rar.html https://uploadgig.com/file/download/51c178aa8Aa5d667/Learn_Inertia_With_Jeffrey.rar

Laracasts - Beginning TypeScript Michael Timbs | Duration: 1h 15m | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 308 MB | Language: English As the complexity and scale of our apps forever increases, TypeScript has risen in popularity as people seek the reassurances of type safety in their applications. Major frameworks such as Vue have rewritten their entire code bases in TypeScript. Nonetheless, there is a cost associated with adopting it. Teams must learn how to use a new set of tooling, think about their code in a different way, and learn concepts that may be foreign to them. This series aims to ease the transition to TypeScript. It assumes basic knowledge of javascript but otherwise serves as an introduction to the most common types that will enable you to build real applications in TypeScript. https://nitro.download/view/0AF8A3AA85C4963/Beginning-TypeScript.rar https://rapidgator.net/file/7b2c043ab5260ed493d8bd16acf4aac6/Beginning-TypeScript.rar.html https://uploadgig.com/file/download/c23dbB47A0d7829e/Beginning-TypeScript.rar

Autodesk Sketchbook Beginner Course-Foliage Digital Painting MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz Language: English | Size: 2h 17m | Duration: 2h 17m What you'll learn Foliage digital painting Autodesk Sketchbook Grass digital painting Shrub digital painting Plant digital painting Tree digital painting Requirements Computer or Laptop or Mobile Phone Autodesk Sketchbook free software or free Mobile Application Description Hi. My name is Venkatesh. I welcome you all for this course 'Autodesk Sketchbook Beginner Course-Foliage Digital Painting'. In this course, you will learn in detail about Digital painting and Autodesk Sketchbook. Within this course you are going to gain: Foliage digital painting Grass digital painting Shrub digital painting Plant digital painting Tree digital painting At the end of this course, you will be a professional digital painting artist. You can use the same digital painting knowledge and techniques with any other digital painting software. Let us start our Course. Autodesk SketchBook is a raster graphics software app intended for expressive drawing and concept sketching. It was first developed by Alias Systems Corporation, before being acquired by Autodesk. Originally developed as commercial software, it evolved into a subscription model before eventually being made freeware for personal use. SketchBook features a radial/pie-menu user interface and has painting and drawing tools such as pencils, markers, and brushes. It uses pressure-sensitive features of digital drawing pads, tablet computers, and smartphones to create effects similar to traditional materials. A screenshot tool is also included for annotations, allowing one to show content during meetings and add notes for review. The program can also create flipbooks or animations, and it supports layers with the ability to import from and export to Adobe Photoshop (.psd) format. Other features include rulers, brush customization, and canvas rotation. Who this course is for: learners of Digital Painting All the people https://nitro.download/view/8C1FE72312DC925/Autodesk_Sketchbook_Beginner_Course-Foliage_Digital_Painting.part1.rar https://nitro.download/view/BE0DDE2D5C17B0A/Autodesk_Sketchbook_Beginner_Course-Foliage_Digital_Painting.part2.rar https://rapidgator.net/file/730f6a96ac498f09e676248ceb4555ea/Autodesk_Sketchbook_Beginner_Course-Foliage_Digital_Painting.part1.rar.html https://rapidgator.net/file/076637c6bf4db56f5510510222b1d000/Autodesk_Sketchbook_Beginner_Course-Foliage_Digital_Painting.part2.rar.html https://uploadgig.com/file/download/0bdCC20727D0e059/Autodesk_Sketchbook_Beginner_Course-Foliage_Digital_Painting.part1.rar https://uploadgig.com/file/download/f514bdb4fCD5c4e9/Autodesk_Sketchbook_Beginner_Course-Foliage_Digital_Painting.part2.rar

Autodesk Sketchbook Beginner Course-Foliage Digital Painting MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz Language: English | Size: 2h 17m | Duration: 2h 17m What you'll learn Foliage digital painting Autodesk Sketchbook Grass digital painting Shrub digital painting Plant digital painting Tree digital painting Requirements Computer or Laptop or Mobile Phone Autodesk Sketchbook free software or free Mobile Application Description Hi. My name is Venkatesh. I welcome you all for this course 'Autodesk Sketchbook Beginner Course-Foliage Digital Painting'. In this course, you will learn in detail about Digital painting and Autodesk Sketchbook. Within this course you are going to gain: Foliage digital painting Grass digital painting Shrub digital painting Plant digital painting Tree digital painting At the end of this course, you will be a professional digital painting artist. You can use the same digital painting knowledge and techniques with any other digital painting software. Let us start our Course. Autodesk SketchBook is a raster graphics software app intended for expressive drawing and concept sketching. It was first developed by Alias Systems Corporation, before being acquired by Autodesk. Originally developed as commercial software, it evolved into a subscription model before eventually being made freeware for personal use. SketchBook features a radial/pie-menu user interface and has painting and drawing tools such as pencils, markers, and brushes. It uses pressure-sensitive features of digital drawing pads, tablet computers, and smartphones to create effects similar to traditional materials. A screenshot tool is also included for annotations, allowing one to show content during meetings and add notes for review. The program can also create flipbooks or animations, and it supports layers with the ability to import from and export to Adobe Photoshop (.psd) format. Other features include rulers, brush customization, and canvas rotation. Who this course is for: learners of Digital Painting All the people https://nitro.download/view/8C1FE72312DC925/Autodesk_Sketchbook_Beginner_Course-Foliage_Digital_Painting.part1.rar https://nitro.download/view/BE0DDE2D5C17B0A/Autodesk_Sketchbook_Beginner_Course-Foliage_Digital_Painting.part2.rar https://rapidgator.net/file/730f6a96ac498f09e676248ceb4555ea/Autodesk_Sketchbook_Beginner_Course-Foliage_Digital_Painting.part1.rar.html https://rapidgator.net/file/076637c6bf4db56f5510510222b1d000/Autodesk_Sketchbook_Beginner_Course-Foliage_Digital_Painting.part2.rar.html https://uploadgig.com/file/download/0bdCC20727D0e059/Autodesk_Sketchbook_Beginner_Course-Foliage_Digital_Painting.part1.rar https://uploadgig.com/file/download/f514bdb4fCD5c4e9/Autodesk_Sketchbook_Beginner_Course-Foliage_Digital_Painting.part2.rar

Advanced Python for Data Analysis 2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz Language: English | Size: 2.39 GB | Duration: 6h 17m What you'll learn Learn using in-built standard modules in python such as datetime, math, statistics Learn networking using sockets Learn to use apis for twitter and emails Learn the data science modules in python such as numpy, scipy, pandas, matplotlib etc. along with multi-threading and Exception Requirements Basic knowledge about programming. Students should already know Python basics that are variables, numbers, strings, lists, functions, conditionals, and loops. Description Python is a high-level and general-purpose programming language and is interpreted. It is of a strong and dynamic type of discipline. It was designed by Guido van Rossum. It has functional, object-oriented and imperative features. It has file extensions such as .py or .pyd or .pyc etc. The code and syntax of Python are highly readable compared to other programming languages. Python is easy to learn, read and maintain and has interactive mode features and provides better scalability and supports GUI applications. It supports structured and functional programming. It was licensed under the Python Software Foundation License. It first appeared in the year 1990. It was influenced by several other programming languages such as C, C++, Java, Haskell, Modula, Perl, etc. The training will include the following; 1. Using in-built standard modules in python (datetime, math, statistics) 2. Networking using sockets 3. Using apis for twitter and emails 4. Data science modules for iot (numpy, scipy, pandas, matplotlib) 5. Multi-threading and Exception handling Hence, we will be covering the following topics and modules in this course: Installation Nuts and Bolts Networking and Networking Concepts Socket Programming ChatBot App Database and Chat App Client Element and Datasets Numpy Numpy Arrays Target Customers for this course will be anybody interested in programming. Basic knowledge about electronics & programming is sufficient to attend this course Who this course is for: Anybody interested in Python Anyone interested in data science Python and data science professionals https://nitro.download/view/6170B789173632A/Advanced_Python_for_Data_Analysis.part1.rar https://nitro.download/view/206B5BC60C52DFE/Advanced_Python_for_Data_Analysis.part2.rar https://nitro.download/view/78268940A12EE0F/Advanced_Python_for_Data_Analysis.part3.rar https://rapidgator.net/file/6b945ce5ededa95086d6d75eca83b0fa/Advanced_Python_for_Data_Analysis.part1.rar.html https://rapidgator.net/file/f4ff2e337d3ef846a4d3f8673553e3eb/Advanced_Python_for_Data_Analysis.part2.rar.html https://rapidgator.net/file/eb59280007891ff9ff0e01e06a9a2cc8/Advanced_Python_for_Data_Analysis.part3.rar.html https://uploadgig.com/file/download/79ab50f92Aa75b38/Advanced_Python_for_Data_Analysis.part1.rar https://uploadgig.com/file/download/28a4a8f085b44DDa/Advanced_Python_for_Data_Analysis.part2.rar https://uploadgig.com/file/download/4ed28190c659fa5E/Advanced_Python_for_Data_Analysis.part3.rar

Programming Effectively in Python MP4 | Video: h264, 1280x720 | Audio: AAC, 48000 Hz Language: English | Size: 2.68 GB | Duration: 8h 15m What you'll learn Practice refactoring methods and get to grips with real-world scenarios Refactor classes and objects by making them easier to understand, maintain, and more efficient Implementing pattern-based refactoring Make major progress by using third-party refactoring tools to speed up your refactoring work Learn to use dictionaries in a smarter way to keep track of your application's state. Save time writing custom subclasses by learning new data structures built right into Python. Evolve into a seasoned Python developer with top Pythonic tips Locate root causes by benchmarking and profiling your application Make your apps run faster with parallel programming Organize your code better using Object Oriented Programming Requirements A strong understanding of Python Programming is assumed. Description Python is an easy to learn, powerful programming language. If you're a developer who wishes to build a strong programming foundation with this simple yet powerful programming language Python, then this course is for you. This learning path is your step-by-step guide to exploring the possibilities in the field of Go. With this course, you'll start with understanding the principles of refactoring, & spot opportunities by identifying code that requires refactoring. Also, you will be shown how to remove Python anti-patterns from your programs in simple steps. Next, you will learn how you can increase the speed & performance of your code with quick tips, tricks, and techniques for loops, data structures, object-oriented programming, functions, and more. Finally, after all this, its time to troubleshoot Python Application Development Quickly detect which lines of code are causing problems, and fix them quickly without going through lakhs of pages. Contents and Overview This training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible. The first course, Refactoring Python Code starts with teaching you to resolve Python anti-patterns with techniques and methods to improve the design of your existing code. Tackle bugs by understanding the principles of refactoring, and learn to spot opportunities by identifying code that requires refactoring. We will also show you how to build test-driven processes to make refactoring easier. This course will show you how to remove Python anti-patterns from your programs in simple steps. We cover specific techniques for refactoring and improving the sloppy Python code. Take this course if you want to have a legacy Python code base with a lot of issues. Apply real-world refactoring techniques, and turn your code into clean, efficient, and maintainable projects. The second course, Python Tips, Tricks, and Techniques will take you from a Python outsider to an insider. You will benefit from insights from the Python documentation, PEPs, and online developer communities to learn the ultimate Pythonic ways to tackle common programming patterns. This course covers tips, tricks, and techniques for loops, data structures, object-oriented programming, functions, and more, helping you work on ordered collections and key-value stores for dictionaries. You will be able to increase the speed and performance of your code while making it easier to debug. Start writing cleaner code for your applications and learn to organize it better in just 3 hours. No other course can transform every corner of your Python code. Take this course NOW and become an overnight Python rockstar developer. The third course, Troubleshooting Python Application Development takes you through a structured journey of performance problems that your application is likely to encounter, and presents both the intuition and the solution to these issues. You'll get things done, without a lengthy detour into how Python is implemented or computational theory. Quickly detect which lines of code are causing problems, and fix them quickly without going through 300 pages of unnecessary detail. About the Authors: James Cross is a Big Data Engineer and certified AWS Solutions Architect with a passion for data-driven applications. He's spent the last 3-5 years helping his clients to design and implement huge scale streaming Big Data platforms, Cloud-based analytics stacks, and serverless architectures. He started his professional career in Investment Banking, working with well-established technologies such as Java and SQL Server, before moving into the big data space. Since then he's worked with a huge range of big data tools including most of the Hadoop eco-system, Spark and many No-SQL technologies such as Cassandra, MongoDB, Redis, and DynamoDB. More recently his focus has been on Cloud technologies and how they can be applied to data analytics, culminating in his work at Scout Solutions as CTO, and more recently with Mckinsey. James is an AWS-certified solutions architect with several years' experience designing and implementing solutions on this cloud platform. As CTO of Scout Solutions Ltd, he built a fully serverless set of APIs and an analytics stack based around Lambda and Redshift. He is interested in almost anything that has to do with technology. He has worked with everything from WordPress to Hadoop, from C++ to Java, and from Oracle to DynamoDB. If it's new and solves a problem in an innovative way he's keen to give it a go! Colibri Ltd is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and cloud computing. Over the past few years, they have worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping each of them to make better sense of its data, and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action. Rudy Lai is the founder of QuantCopy, a sales acceleration startup using AI to write sales emails to prospects. After taking in leads from your pipelines, QuantCopy researches them online and generates sales emails from that data. It also has a suite of email automation tools to schedule, send, and track email performance-key analytics that all feedback into how our AI generates content. Prior to founding QuantCopy, Rudy ran HighDimension.IO, a machine learning consultancy where he experienced firsthand the frustrations of outbound sales and prospecting. As a founding partner, he helped startups and enterprises with HighDimension.IO's Machine-Learning-as-a-Service, allowing them to scale up data expertise in the blink of an eye. In the first part of his career, Rudy spent 5+ years in quantitative trading at leading investment banks such as Morgan Stanley. This valuable experience allowed him to witness the power of data, but also the pitfalls of automation using data science and machine learning. Quantitative trading was also a great platform from which to learn deeply about reinforcement learning and supervised learning topics in a commercial setting. Rudy holds a Computer Science degree from Imperial College London, where he was part of the Dean's List, and received awards such as the Deutsche Bank Artificial Intelligence prize. Who this course is for: This course is targeted at Python developers, software architects and senior software engineers, who use Python for their everyday work and build their applications and projects using Python ● . https://nitro.download/view/968D532659F55EB/Programming_Effectively_in_Python.part1.rar https://nitro.download/view/9B0E4B838C9581D/Programming_Effectively_in_Python.part2.rar https://nitro.download/view/81D96D5A8914E14/Programming_Effectively_in_Python.part3.rar https://rapidgator.net/file/5daf6033a08ee1a96f26a728b194af5c/Programming_Effectively_in_Python.part1.rar.html https://rapidgator.net/file/4fc15df92e710d7f31aa5da7c40e897c/Programming_Effectively_in_Python.part2.rar.html https://rapidgator.net/file/b7ebeb315a47c2b66a954766aaef0261/Programming_Effectively_in_Python.part3.rar.html https://uploadgig.com/file/download/b0580a55e19860E6/Programming_Effectively_in_Python.part1.rar https://uploadgig.com/file/download/AEe10aa94b0cc747/Programming_Effectively_in_Python.part2.rar https://uploadgig.com/file/download/3A279a387b5475e8/Programming_Effectively_in_Python.part3.rar

Programming Effectively in Python MP4 | Video: h264, 1280x720 | Audio: AAC, 48000 Hz Language: English | Size: 2.68 GB | Duration: 8h 15m What you'll learn Practice refactoring methods and get to grips with real-world scenarios Refactor classes and objects by making them easier to understand, maintain, and more efficient Implementing pattern-based refactoring Make major progress by using third-party refactoring tools to speed up your refactoring work Learn to use dictionaries in a smarter way to keep track of your application's state. Save time writing custom subclasses by learning new data structures built right into Python. Evolve into a seasoned Python developer with top Pythonic tips Locate root causes by benchmarking and profiling your application Make your apps run faster with parallel programming Organize your code better using Object Oriented Programming Requirements A strong understanding of Python Programming is assumed. Description Python is an easy to learn, powerful programming language. If you're a developer who wishes to build a strong programming foundation with this simple yet powerful programming language Python, then this course is for you. This learning path is your step-by-step guide to exploring the possibilities in the field of Go. With this course, you'll start with understanding the principles of refactoring, & spot opportunities by identifying code that requires refactoring. Also, you will be shown how to remove Python anti-patterns from your programs in simple steps. Next, you will learn how you can increase the speed & performance of your code with quick tips, tricks, and techniques for loops, data structures, object-oriented programming, functions, and more. Finally, after all this, its time to troubleshoot Python Application Development Quickly detect which lines of code are causing problems, and fix them quickly without going through lakhs of pages. Contents and Overview This training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible. The first course, Refactoring Python Code starts with teaching you to resolve Python anti-patterns with techniques and methods to improve the design of your existing code. Tackle bugs by understanding the principles of refactoring, and learn to spot opportunities by identifying code that requires refactoring. We will also show you how to build test-driven processes to make refactoring easier. This course will show you how to remove Python anti-patterns from your programs in simple steps. We cover specific techniques for refactoring and improving the sloppy Python code. Take this course if you want to have a legacy Python code base with a lot of issues. Apply real-world refactoring techniques, and turn your code into clean, efficient, and maintainable projects. The second course, Python Tips, Tricks, and Techniques will take you from a Python outsider to an insider. You will benefit from insights from the Python documentation, PEPs, and online developer communities to learn the ultimate Pythonic ways to tackle common programming patterns. This course covers tips, tricks, and techniques for loops, data structures, object-oriented programming, functions, and more, helping you work on ordered collections and key-value stores for dictionaries. You will be able to increase the speed and performance of your code while making it easier to debug. Start writing cleaner code for your applications and learn to organize it better in just 3 hours. No other course can transform every corner of your Python code. Take this course NOW and become an overnight Python rockstar developer. The third course, Troubleshooting Python Application Development takes you through a structured journey of performance problems that your application is likely to encounter, and presents both the intuition and the solution to these issues. You'll get things done, without a lengthy detour into how Python is implemented or computational theory. Quickly detect which lines of code are causing problems, and fix them quickly without going through 300 pages of unnecessary detail. About the Authors: James Cross is a Big Data Engineer and certified AWS Solutions Architect with a passion for data-driven applications. He's spent the last 3-5 years helping his clients to design and implement huge scale streaming Big Data platforms, Cloud-based analytics stacks, and serverless architectures. He started his professional career in Investment Banking, working with well-established technologies such as Java and SQL Server, before moving into the big data space. Since then he's worked with a huge range of big data tools including most of the Hadoop eco-system, Spark and many No-SQL technologies such as Cassandra, MongoDB, Redis, and DynamoDB. More recently his focus has been on Cloud technologies and how they can be applied to data analytics, culminating in his work at Scout Solutions as CTO, and more recently with Mckinsey. James is an AWS-certified solutions architect with several years' experience designing and implementing solutions on this cloud platform. As CTO of Scout Solutions Ltd, he built a fully serverless set of APIs and an analytics stack based around Lambda and Redshift. He is interested in almost anything that has to do with technology. He has worked with everything from WordPress to Hadoop, from C++ to Java, and from Oracle to DynamoDB. If it's new and solves a problem in an innovative way he's keen to give it a go! Colibri Ltd is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and cloud computing. Over the past few years, they have worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping each of them to make better sense of its data, and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action. Rudy Lai is the founder of QuantCopy, a sales acceleration startup using AI to write sales emails to prospects. After taking in leads from your pipelines, QuantCopy researches them online and generates sales emails from that data. It also has a suite of email automation tools to schedule, send, and track email performance-key analytics that all feedback into how our AI generates content. Prior to founding QuantCopy, Rudy ran HighDimension.IO, a machine learning consultancy where he experienced firsthand the frustrations of outbound sales and prospecting. As a founding partner, he helped startups and enterprises with HighDimension.IO's Machine-Learning-as-a-Service, allowing them to scale up data expertise in the blink of an eye. In the first part of his career, Rudy spent 5+ years in quantitative trading at leading investment banks such as Morgan Stanley. This valuable experience allowed him to witness the power of data, but also the pitfalls of automation using data science and machine learning. Quantitative trading was also a great platform from which to learn deeply about reinforcement learning and supervised learning topics in a commercial setting. Rudy holds a Computer Science degree from Imperial College London, where he was part of the Dean's List, and received awards such as the Deutsche Bank Artificial Intelligence prize. Who this course is for: This course is targeted at Python developers, software architects and senior software engineers, who use Python for their everyday work and build their applications and projects using Python ● . https://nitro.download/view/968D532659F55EB/Programming_Effectively_in_Python.part1.rar https://nitro.download/view/9B0E4B838C9581D/Programming_Effectively_in_Python.part2.rar https://nitro.download/view/81D96D5A8914E14/Programming_Effectively_in_Python.part3.rar https://rapidgator.net/file/5daf6033a08ee1a96f26a728b194af5c/Programming_Effectively_in_Python.part1.rar.html https://rapidgator.net/file/4fc15df92e710d7f31aa5da7c40e897c/Programming_Effectively_in_Python.part2.rar.html https://rapidgator.net/file/b7ebeb315a47c2b66a954766aaef0261/Programming_Effectively_in_Python.part3.rar.html https://uploadgig.com/file/download/b0580a55e19860E6/Programming_Effectively_in_Python.part1.rar https://uploadgig.com/file/download/AEe10aa94b0cc747/Programming_Effectively_in_Python.part2.rar https://uploadgig.com/file/download/3A279a387b5475e8/Programming_Effectively_in_Python.part3.rar

Procedural modeling in Blender with Python MP4 | Video: h264, 1280x720 | Audio: AAC, 48000 Hz Language: English | Size: 1.73 GB | Duration: 3h 7m What you'll learn Creating modifiers with Python Adjusting modifier properties with Python Collapsing modifiers with Python Generating displacement textures with Python Art direction and creative control over the generated textures Moving vertices with Python Adding edges with Python Identifying faces through code Introduction to normals on both faces and vertexes Extruding (specific) faces with Python Creating materials with Python Applying materials with Python Applying multiple materials to a single object using material slots and indexes with Python Randomization Efficient workflows Clever usage of tools Requirements Basic knowledge of Blender ( navigating a scene ) Description In this course we will walk through the entire process of creating procedural assets for your game development or visual effects projects. You will be taken through each step of the process from generating the base geometry, to adding detail in various ways, then finally setting up some initial materials. You also get a complete guide to the basics of Python, as a bonus, so if you are completely new to Python, you can get up to speed quickly and learn how to apply core concepts to your Blender workflow. If you are new to Procedural Modeling or Procedural content creation for games, and want to jump start your learning in Blender, then this course is perfect for you! Who this course is for: Blender artists with a curiosity for Procedural Modeling and Python https://nitro.download/view/572F648C4F07C54/Procedural_modeling_in_Blender_with_Python.part1.rar https://nitro.download/view/CAF19B5F1CADDC5/Procedural_modeling_in_Blender_with_Python.part2.rar https://rapidgator.net/file/2467ea8a17306329f1f20f1bac9e9896/Procedural_modeling_in_Blender_with_Python.part1.rar.html https://rapidgator.net/file/7febd0ea7fbcdef09309627739991c7f/Procedural_modeling_in_Blender_with_Python.part2.rar.html https://uploadgig.com/file/download/a42555329674c1d7/Procedural_modeling_in_Blender_with_Python.part1.rar https://uploadgig.com/file/download/5f27FD5D971421b3/Procedural_modeling_in_Blender_with_Python.part2.rar

Cisco CCNA 200-301 (v1.0) Full Certification Prep Course MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 100 lectures (10h 15m) | Size: 4.43 GB Prepare for your CCNA 200-301 exam with a course that includes a full study review What you'll learn: Prepare with an authentic study plan that has everything you need to pass CCNA exam. Full certification prep course with lectures, downloadable review, quizzes, and whiteboard. CCNA training with unique configuration mega labs to expand your learning. Learn how to do an effective full study review funnel and pass on first attempt. Downloadable labs with step-by-step instructions for offline practice. Course link to the highest-rated practice tests. Requirements Some basic networking knowledge (recommended) Cisco Packet Tracer (recommended) Description Cisco CCNA 200-301 is the new industry standard networking certification for network administrators, network support analysts, engineers, and data center operations. The best strategy and key to passing CCNA exam is the right information instead of more information. Transcend the marketing hype and avoid the high fail rate! Learn with a certification prep course instead of a CCNA networking course for best results. This study prep course is designed to get you 100% ready for the new CCNA 200-301 exam. It is based on the official Cisco CCNA syllabus and includes unique configuration mega labs. Learn how to funnel your training into an effective full review and score your best on exam day. The course also includes a link to the highest-rated practice tests designed to test your skills. Focus your study time, prepare, and pass CCNA on first attempt. Learn fundamentals with each lecture designed specifically for CCNA 200-301 certification. There are top-rated study notes and section quizzes as well to expand your learning. Each lecture also includes downloadable practice labs with instructions to learn hands-on CLI configuration skills. This course is also recommended before starting higher level CCNP, CCIE and security certifications. Dispel the marketing hype and confusion that often surrounds CCNA certification and the official Cisco syllabus. OSPFv2 is the only routing protocol, however you should know administrative distance for routing protocols. For example, there is no EIGRP configuration on the new exam, however you should know administrative distance of routing protocols for route selection. Cisco puts unscored questions on the exam for research purposes only. CCNA authentic prep course designed to get you 100% ready for the new CCNA exam. Learn foundational networking concepts with class notes and practical lectures. Test your knowledge retention with section learning quizzes that explain answer Get hands-on experience with downloadable labs and step-by-step instructions. Expand your learning with simulation labs to practice and verify configuration skills. Popular study tools that include exam day whiteboard and easy configuration tool. Prepare for exam day with a proper full review of all CCNA topics to score your best. Get all your questions answered from me quickly via Udemy instructor link anytime. CiscoNet Solutions is a certification training provider with thousands of students. Industry expert with 25+ years of enterprise IT experience and multiple Cisco spotlight awards. The step-by-step approach includes online courses, lab training, practice tests, and study tools. It is all designed to prepare you for CCNA/CCNP certification. Browse all course training available and get certified today! Who this course is for CCNA 200-301 students https://nitro.download/view/68FFBD3CD8F6170/Cisco_CCNA_200-301_%28v1.0%29_Full_Certification_Prep_Course.part1.rar https://nitro.download/view/CF3B3E8AACE6B51/Cisco_CCNA_200-301_%28v1.0%29_Full_Certification_Prep_Course.part2.rar https://nitro.download/view/D99E08734B88371/Cisco_CCNA_200-301_%28v1.0%29_Full_Certification_Prep_Course.part3.rar https://nitro.download/view/8D075E3CE99AA5A/Cisco_CCNA_200-301_%28v1.0%29_Full_Certification_Prep_Course.part4.rar https://nitro.download/view/4E5276FE2052549/Cisco_CCNA_200-301_%28v1.0%29_Full_Certification_Prep_Course.part5.rar https://rapidgator.net/file/ecccc6cfdb6115f3844eca122a2765c1/Cisco_CCNA_200-301_(v1.0)_Full_Certification_Prep_Course.part1.rar.html https://rapidgator.net/file/c6f1f3aeee782670a7084d65830a84ae/Cisco_CCNA_200-301_(v1.0)_Full_Certification_Prep_Course.part2.rar.html https://rapidgator.net/file/5917ccacf5389cb46916a1c5500d6915/Cisco_CCNA_200-301_(v1.0)_Full_Certification_Prep_Course.part3.rar.html https://rapidgator.net/file/33a2a08975d2c8cd8fb6efceaf5e2da2/Cisco_CCNA_200-301_(v1.0)_Full_Certification_Prep_Course.part4.rar.html https://rapidgator.net/file/02a8e7508f30020dcc460371d6abc510/Cisco_CCNA_200-301_(v1.0)_Full_Certification_Prep_Course.part5.rar.html https://uploadgig.com/file/download/4082dcdc3adbd7F8/Cisco_CCNA_200-301_v1.0_Full_Certification_Prep_Course.part1.rar https://uploadgig.com/file/download/db31df757c9af8C4/Cisco_CCNA_200-301_v1.0_Full_Certification_Prep_Course.part2.rar https://uploadgig.com/file/download/89819b59F2db9b9b/Cisco_CCNA_200-301_v1.0_Full_Certification_Prep_Course.part3.rar https://uploadgig.com/file/download/72C299f298b53A7c/Cisco_CCNA_200-301_v1.0_Full_Certification_Prep_Course.part4.rar https://uploadgig.com/file/download/0bDf38541155152E/Cisco_CCNA_200-301_v1.0_Full_Certification_Prep_Course.part5.rar

Cisco CCNA 200-301 (v1.0) Full Certification Prep Course MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 100 lectures (10h 15m) | Size: 4.43 GB Prepare for your CCNA 200-301 exam with a course that includes a full study review What you'll learn: Prepare with an authentic study plan that has everything you need to pass CCNA exam. Full certification prep course with lectures, downloadable review, quizzes, and whiteboard. CCNA training with unique configuration mega labs to expand your learning. Learn how to do an effective full study review funnel and pass on first attempt. Downloadable labs with step-by-step instructions for offline practice. Course link to the highest-rated practice tests. Requirements Some basic networking knowledge (recommended) Cisco Packet Tracer (recommended) Description Cisco CCNA 200-301 is the new industry standard networking certification for network administrators, network support analysts, engineers, and data center operations. The best strategy and key to passing CCNA exam is the right information instead of more information. Transcend the marketing hype and avoid the high fail rate! Learn with a certification prep course instead of a CCNA networking course for best results. This study prep course is designed to get you 100% ready for the new CCNA 200-301 exam. It is based on the official Cisco CCNA syllabus and includes unique configuration mega labs. Learn how to funnel your training into an effective full review and score your best on exam day. The course also includes a link to the highest-rated practice tests designed to test your skills. Focus your study time, prepare, and pass CCNA on first attempt. Learn fundamentals with each lecture designed specifically for CCNA 200-301 certification. There are top-rated study notes and section quizzes as well to expand your learning. Each lecture also includes downloadable practice labs with instructions to learn hands-on CLI configuration skills. This course is also recommended before starting higher level CCNP, CCIE and security certifications. Dispel the marketing hype and confusion that often surrounds CCNA certification and the official Cisco syllabus. OSPFv2 is the only routing protocol, however you should know administrative distance for routing protocols. For example, there is no EIGRP configuration on the new exam, however you should know administrative distance of routing protocols for route selection. Cisco puts unscored questions on the exam for research purposes only. CCNA authentic prep course designed to get you 100% ready for the new CCNA exam. Learn foundational networking concepts with class notes and practical lectures. Test your knowledge retention with section learning quizzes that explain answer Get hands-on experience with downloadable labs and step-by-step instructions. Expand your learning with simulation labs to practice and verify configuration skills. Popular study tools that include exam day whiteboard and easy configuration tool. Prepare for exam day with a proper full review of all CCNA topics to score your best. Get all your questions answered from me quickly via Udemy instructor link anytime. CiscoNet Solutions is a certification training provider with thousands of students. Industry expert with 25+ years of enterprise IT experience and multiple Cisco spotlight awards. The step-by-step approach includes online courses, lab training, practice tests, and study tools. It is all designed to prepare you for CCNA/CCNP certification. Browse all course training available and get certified today! 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Getting started with Data Acquisition and LabJack MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 49 lectures (5h 11m) | Size: 4 GB Learn how to use the LabJack device to perform data acquisition and control (DaQ) operations What you'll learn: Learn how to use the LabJack device to perform data acquisition and control (DaQ) operations Requirements No requirement for prior experience in data acquisition or control. A basic understanding of how simple sensors and actuators work. Ability to wire simple circuits on a breadboard. Ability to read and write simple Python programs. Knowledge of the Lua programming language is not required (you'll learn what you need in this course). Description This course is ideal if you want to record a lot of data about the real world from sensors so that you can analyze it later. For example, you may want to record the volume of water that flows through a pipe, the temperature of a fridge, or the movement of a high-rise building due to winds. And, you may want to do this for ten years without any human intervention. This course is also ideal if you want to control the environment based on the data collected from sensors. For example, you may want to adjust the pressure in a water pipe using a variable valve if the pressure sensor shows it is above a certain threshold. Or, you may want to raise an alarm if the temperature of a fridge rises above 0°C. What is LabJack? LabJack is a tool for data acquisition and control. LabJack was designed to be robust and reliable, to work autonomously in harsh environments for a long period of time, and to have a lot of input/output ports able to connect to a huge range of sensors and actuators. LabJack can be used via an intuitive graphical user interface and is programmable using any one of the many mainstream programming languages. You can start taking measurements without writing a single line of code. You can also write simple or complex scripts that run both on the device or on a host computer to automate data acquisition and control through a network. This course will teach you... The basic concepts of data acquisition and control. How to use a LabJack device without any programming. How to network and automate DaQ tasks using languages like Lua and Python. How to use LabJack's basic and extended port features. And how to connect a variety of sensors and actuators to a LabJack device. Would you like to know more about this course? Learn about the exact course content, required hardware, the knowledge prerequisites, and check out the free sample lectures. I look forward to seeing you on the course! Who this course is for Anyone interested in recording real-world data for later analysis. Anyone interested in building applications to control the environment based on the data collected from sensors. Anyone interested in learning about DaQ (Data Acquisition) but is not confident how to start. Anyone interested in learning how to use LabJack devices quickly. Anyone who is intimidated by the complexity of PLCs and looking for a simple yet powerful way to control anything, from a factory production line to a rocket engine test rig. https://nitro.download/view/6ECA860E1D92A08/Getting_started_with_Data_Acquisition_and_LabJack.part1.rar https://nitro.download/view/D391609F148F371/Getting_started_with_Data_Acquisition_and_LabJack.part2.rar https://nitro.download/view/746BFC8D8D3F521/Getting_started_with_Data_Acquisition_and_LabJack.part3.rar https://nitro.download/view/DA7E62522E68023/Getting_started_with_Data_Acquisition_and_LabJack.part4.rar https://nitro.download/view/F64673D0D1DABCB/Getting_started_with_Data_Acquisition_and_LabJack.part5.rar https://rapidgator.net/file/d759d646d37016e555ce385f9883b370/Getting_started_with_Data_Acquisition_and_LabJack.part1.rar.html https://rapidgator.net/file/2abb154e32c9605a93521b32b71f9991/Getting_started_with_Data_Acquisition_and_LabJack.part2.rar.html https://rapidgator.net/file/9321e290e3d471832cb0477cae251e36/Getting_started_with_Data_Acquisition_and_LabJack.part3.rar.html https://rapidgator.net/file/6925e6d9df69163ae9d9ddc257d29a20/Getting_started_with_Data_Acquisition_and_LabJack.part4.rar.html https://rapidgator.net/file/40ffd79d782c2bc56dcb9022135950e3/Getting_started_with_Data_Acquisition_and_LabJack.part5.rar.html https://uploadgig.com/file/download/d2a9A9CeBa59aD16/Getting_started_with_Data_Acquisition_and_LabJack.part1.rar https://uploadgig.com/file/download/4e5a4b405Db16a33/Getting_started_with_Data_Acquisition_and_LabJack.part2.rar https://uploadgig.com/file/download/5F4fa6C7013e3b8b/Getting_started_with_Data_Acquisition_and_LabJack.part3.rar https://uploadgig.com/file/download/b82c5b6B4c4904dC/Getting_started_with_Data_Acquisition_and_LabJack.part4.rar https://uploadgig.com/file/download/279f6c26fad38839/Getting_started_with_Data_Acquisition_and_LabJack.part5.rar