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Free Download Selenium 4 Webdriver Mastery With Github Actions Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.06 GB | Duration: 5h 56m End to End Selenium Java Testing Framework What you'll learn After completing this course, learners will have a thorough understanding of Selenium WebDriver, enabling them to automate web applications efficiently Best practices for writing clean, maintainable, and efficient automated test scripts using Page Object Model (POM) design pattern Generating beautiful reports using Extent Reports Logging with Log4j and Configuration using Constants & Config Utils Running Selenium Test in parallel using TestNG Running Selenium Test in parallel with TestNG in GitHub Actions Running Selenium Test in different browser via GitHub Action Best practices in creating and maintaining the test suites and GitHub pipeline Upon course completion, learners will be proficient in setting up their own Selenium Automation Project and running it via GitHub Actions pipeline Requirements Before proceeding with this tutorial, you should have a basic understanding of Java programming language, text editor and execution of programs, etc. The tutorials are designed for Software developers/testing professionals with some knowledge of Selenium WebDriver. Everything is taught from scratch! Description Selenium 4 WebDriver Mastery with GitHub Actions: End to End Selenium Java Testing FrameworkAre you ready to become an expert in web automation testing? Welcome to "Selenium 4 WebDriver Mastery with GitHub Actions: Mastering Web Automation," a comprehensive course designed to equip you with the skills and knowledge needed to excel in automation testing. In this course, you'll learn to create end-to-end test cases for an Incident Management application using the Page Object Model (POM) design pattern. We'll start with the basics, setting up your environment and writing your first test script using Selenium WebDriver with Java. We will also look into Selenium commands. From there, you'll dive into more advanced topics such as implementing Driver Manager, using web utilities for efficient test development, and making use of assertions to validate test results.As we progress, we will explore the advanced Selenium features, including handling dynamic web elements, running multiple tests in parallel locally and via GitHub Actions.But that's not all! You'll also learn how to integrate Selenium with popular tools like GitHub Actions for continuous integration.You won't just learn theory, you'll apply your knowledge in hands-on exercises that mirror real-world testing scenarios. By the end of this course, you'll be equipped to automate complex web applications, build maintainable test frameworks using POM, and enhance your tests with powerful utilities and robust assertions. Generate beautiful reports and setup build pipeline for continuous Integration using GitHub workflow.With hands-on exercises, real-world examples, and expert guidance, you'll gain the confidence to tackle any automation challenge.Join us today and take the first step towards mastering web automation with Selenium and Java. Overview Section 1: Introduction Lecture 1 Introduction Section 2: Environment Setup Lecture 2 Installing Java - Windows Lecture 3 Installing Java - Mac Lecture 4 What is Maven? Lecture 5 Maven Setup - Windows Lecture 6 Maven Setup - Mac Section 3: Project Setup & First Test Script Lecture 7 Creating New Project in IntelliJ Lecture 8 Project Naming Convention Lecture 9 Writing Our First Test Script Lecture 10 Selenium Commands Section 4: Test Framework Development Lecture 11 Test Framework - Introduction Section 5: Test Scripts for Incident Management System Lecture 12 VERY IMPORTANT - Application under Test URL Lecture 13 Application Walkthrough Lecture 14 Dashboard Feature Test Lecture 15 Test Script for Issue Record Count Section 6: Adding More Test Scripts Lecture 16 Test Script for Dashboard Table Lecture 17 Test Script for Edit & Delete Button Lecture 18 Create Driver Manager class Lecture 19 Create WebUtils class Section 7: Design Pattern with Page Object Model Lecture 20 Page Object Model - An Introduction Lecture 21 Additional Methods for WebUtil class Lecture 22 Implement Page Object Model and Refactor the first Test scripts Lecture 23 Refactor rest of the Test Scripts to include Page class Section 8: Test Reporting Lecture 24 Default Reporting using TestNG Lecture 25 Regarding Extent Reports Lecture 26 Generating Reports using Extent Reports Lecture 27 Generating Reports using Extent Reports & Test Listeners Section 9: Test Scripts For Incident Functionality Lecture 28 Incident Related - Scenario walkthrough Lecture 29 Add Incident Test Scripts - 1 Lecture 30 Add Custom messages in Tests Lecture 31 Add Incident Test Scripts - 2 Lecture 32 Add Incident Test Scripts - 3 Section 10: Edit, Delete & Filter Related Test Scripts Lecture 33 Edit Incident Test Lecture 34 Delete Incident Test Lecture 35 Status Filter Test Lecture 36 Priority Filter Test Section 11: CI-CD with GitHub Actions Lecture 37 Adding Project to GitHub Lecture 38 GitHub Action - An overview Lecture 39 Run test via GitHub Actions Section 12: Log4J configuration Lecture 40 Adding Log4J to our Tests Section 13: Running Tests in Parallel Lecture 41 Parallel Testing Description Lecture 42 Steps to implement Parallel Run Lecture 43 Parallel Test 1 Lecture 44 Parallel Test 2 Lecture 45 Parallel Run with GitHub Actions Section 14: Running Test in parallel with different Browser Lecture 46 Running Test in parallel with different browser - 1 Lecture 47 Running Test in parallel with different browser - 2 Lecture 48 Running Test in parallel with different browser - 3 Section 15: Use of Properties & Constants file Lecture 49 Configuring Reusable properties Lecture 50 Configuring Constants Section 16: Test Suite & Multiple TestNG XML Lecture 51 Strategy for Organizing Tests Lecture 52 Organize test with different TestNG files Lecture 53 Organize GitHub workflow files for different tests Lecture 54 Re-Run failed GitHub workflow file with different browser actions Section 17: Bonus Lecture 55 Bonus Lecture Designed for Software Professionals, who are looking to Pursue a career in Automation Testing.,Manual testers / QA engineers /QA Analysts who want to upskill in Automation Testing.,Anyone willing to lean creating an Automation Framework from Scratch using Selenium WebDriver and Java.,Provide developers with easy access to the testing framework, which they can run before Code merge to QA or before code merge to UAT,Add additional skill of architecting the continuous integration using GitHub Actions Homepage https://www.udemy.com/course/selenium-4-webdriver-mastery-with-github-actions/ Rapidgator https://rg.to/file/2d4dd5a45012c479b5601abfcbf5adf6/vwkqs.Selenium.4.Webdriver.Mastery.With.Github.Actions.part1.rar.html https://rg.to/file/c738419b54885a129ad93256caf1028b/vwkqs.Selenium.4.Webdriver.Mastery.With.Github.Actions.part2.rar.html https://rg.to/file/db2d133c51d310025d38974257363a2c/vwkqs.Selenium.4.Webdriver.Mastery.With.Github.Actions.part3.rar.html https://rg.to/file/b1f0dc711ed53f7b241194d91a109145/vwkqs.Selenium.4.Webdriver.Mastery.With.Github.Actions.part4.rar.html https://rg.to/file/6876b390316234f0a9b5fba121a87e14/vwkqs.Selenium.4.Webdriver.Mastery.With.Github.Actions.part5.rar.html Fikper Free Download https://fikper.com/zwCKLqf73h/vwkqs.Selenium.4.Webdriver.Mastery.With.Github.Actions.part1.rar.html https://fikper.com/mpUfPNYiUR/vwkqs.Selenium.4.Webdriver.Mastery.With.Github.Actions.part2.rar.html https://fikper.com/MDfhsv3HuY/vwkqs.Selenium.4.Webdriver.Mastery.With.Github.Actions.part3.rar.html https://fikper.com/rRB2p4OKJ3/vwkqs.Selenium.4.Webdriver.Mastery.With.Github.Actions.part4.rar.html https://fikper.com/B5dhS49ptJ/vwkqs.Selenium.4.Webdriver.Mastery.With.Github.Actions.part5.rar.html No Password - Links are Interchangeable

Free Download GitHub Copilot Administration and Deployment Duration: 18m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 105 MB Genre: eLearning | Language: English Manage GitHub Copilot effectively. This course will teach you the administration and deployment of GitHub Copilot. Ensuring the proper administration of GitHub Copilot is crucial. In this course, GitHub Copilot Administration and Deployment, you'll learn to effectively administer and deploy GitHub Copilot. Homepage https://www.pluralsight.com/courses/github-copilot-administration-deployment TakeFile https://takefile.link/sdc719ib3kxe/uwqqk.GitHub.Copilot.Administration.and.Deployment.rar.html Rapidgator https://rg.to/file/6ddb57ac62cb69b0833948cbc78838f2/uwqqk.GitHub.Copilot.Administration.and.Deployment.rar.html Fikper Free Download https://fikper.com/hP2t3dJPHH/uwqqk.GitHub.Copilot.Administration.and.Deployment.rar.html No Password - Links are Interchangeable

Free Download Automation Tools For Programmers With Github Copilot Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.57 GB | Duration: 2h 30m Master AI-Powered Coding Tools to Boost Productivity and Accelerate Development. What you'll learn Integrating GitHub Copilot with Visual Studio Code Prompt Engineering Programming with AI Support Boosting Coding Efficiency AI-Powered Development Requirements Basic Understanding of Programming Basic working knowledge of VS Code as a coding environment and GitHub for version control. Curiosity about AI and Automation Description In today's fast-paced tech landscape, automation and AI have become indispensable tools for developers. This course, Automation Tools for Programmers with GitHub Copilot, is designed to equip you with cutting-edge skills to harness the power of AI for faster, smarter programming.You'll dive into how GitHub Copilot, an AI-powered code assistant, can help you write and understand code more efficiently by offering real-time suggestions, explanations, and even entire blocks of code. Whether you're working with Python, JavaScript, or Solidity for blockchain projects, this course will show you how to integrate Copilot with Visual Studio Code to accelerate your development workflow.Beyond basic coding tasks, you'll learn prompt engineering techniques to get the most out of GitHub Copilot and AI tools, enabling you to automate repetitive tasks, improve your code quality, and scale your productivity. Whether you're a new developer aiming to boost your learning speed or an experienced professional seeking to streamline your workflow, this course will provide the skills and insights you need to stay ahead.By the end of this course, you'll not only have hands-on experience with AI tools but also understand how to apply them to real-world coding projects across different programming languages. Start coding smarter, not harder, and unlock your full potential as a developer! Overview Lecture 0 Introduction Section 1: Introduction to Generative AI, Prompt Engineering and ChatGPT Lecture 1 Generative AI, Prompt Engineering and ChatGPT Lecture 2 Use ChatGPT to Generate Images Lecture 3 How to Use ChatGPT to Generate React Code Lecture 4 How to Build a React To Do-List App Section 2: What is Copilot and GitHub Copilot? Lecture 5 3.2 Introduction to GitHub Copilot Lecture 6 Install GitHub Copilot Extension in VS Code Section 3: Lightning a Solidity Blockchain Project with VS Code GitHub Copilot Lecture 7 Lightning a Solidity Blockchain Project with VS Code GitHub Copilot Section 4: Using GitHub Copilot to work with a Python Project Lecture 8 Understand a Python Dash Plotly App Lecture 9 Build the Dash Plotly App Lecture 10 Explain Dash Plotly App Code Lecture 11 Section Summary Section 5: Use GitHub Copilot to work with Python Data Science Lecture 12 Download csv and Write into Pandas Dataframe Lecture 13 Understand the Dataframe Lecture 14 Conduct Data Visualization Section 6: Using GitHub Copilot to work with a JavaScript Project Lecture 15 Using GitHub Copilot to work with a JavaScript Project Section 7: 08-Other AI Code Assistant Tools Lecture 16 Use Tabnine to Explain and Document the Code Lecture 17 Introduction to Sourcegraph Lecture 18 Use Sourcegraph Cody to Find Code Smells and Generate Unit Tests Section 8: Capstone project Lecture 19 Explanation Beginners looking to enhance their coding skills with AI-powered tools like GitHub Copilot.,Programmers who want to streamline their development process and improve code quality.,Experienced coders aiming to leverage automation and AI to boost productivity and manage large codebases more efficiently.,Professionals working with code who want to integrate AI-driven solutions into their workflows. Homepage https://www.udemy.com/course/automation-tools-for-programmers-with-github-copilot/ Rapidgator https://rg.to/file/b0ebb18a7456ac1f9c705c8b2f32ec73/vweke.Automation.Tools.For.Programmers.With.Github.Copilot.part1.rar.html https://rg.to/file/dd9ccdbc652cc04535a6e535c1a7b2ad/vweke.Automation.Tools.For.Programmers.With.Github.Copilot.part2.rar.html Fikper Free Download https://fikper.com/nlV438JxYr/vweke.Automation.Tools.For.Programmers.With.Github.Copilot.part1.rar.html https://fikper.com/Oibg5Oxsp1/vweke.Automation.Tools.For.Programmers.With.Github.Copilot.part2.rar.html No Password - Links are Interchangeable

Free Download Introduction to GitHub Models By Alfredo Deza Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 13m | Size: 510 MB Video description Introduction to GitHub Models An easy course for getting started and building with GitHub Models This practical course guides you through the process of effectively integrating and using GitHub Models in your projects. You'll start by learning the fundamentals of AI models and understanding the current challenges in the field. The course then walks you through navigating the GitHub Models Marketplace and applying playground techniques to get hands-on experience. You'll explore key features of responsible AI and learn strategic implementation techniques, including how to manage rate limits and scale beyond the free tier. The course also covers GitHub Codespaces, teaching you how to effectively manage resources in this cloud-based development environment. In the final section, you'll dive into best practices for building applications with GitHub Models. This includes creating a Personal Access Token, setting up your development environment, and creating an HTTP API. You'll also learn strategies for testing and validating your implementations. By the end of this course, you'll have a solid understanding of how to integrate GitHub Models into your projects efficiently and responsibly. Whether you're a developer looking to expand your AI toolkit or a project manager aiming to leverage AI in your applications, this course provides the knowledge and skills you need to get started with GitHub Models. About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he parti[beeep]ted in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University teaching Machine Learning, Cloud Computing, Data Engineering, Python, and Rust. With Alfredo's guidance, you will gain the knowledge and skills to build applications from scratch using GitHub Models. TakeFile https://takefile.link/lt20usxtv7z6/trkiv.Introduction.to.GitHub.Models.rar.html Rapidgator https://rg.to/file/1a68da90e2ce9415d6235d1a858d04f2/trkiv.Introduction.to.GitHub.Models.rar.html Fikper Free Download https://fikper.com/lX8fg0QVY2/trkiv.Introduction.to.GitHub.Models.rar.html No Password - Links are Interchangeable

Free Download [NEW] GitHub Copilot - Use GenAI to Write Terraform For You! Published 9/2024 Created by Bryan Krausen • 130,000+ Enrollments Worldwide MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 26 Lectures ( 3h 44m ) | Size: 1.64 GB Increase Your Productivity! Leverage GenAI to Write and Optimize Your HashiCorp Terraform Code with GitHub Copilot What you'll learn: Use GitHub Copilot for developing Terraform code, leveraging GenAI capabilities effectively. Accelerate your Terraform development cycles by utilizing GitHub Copilot to generate and optimize infrastructure-as-code (IaC) scripts Improve code quality and consistency through automated suggestions and templates provided by GitHub Copilot Learn techniques to troubleshoot and customize GitHub Copilot's suggestions to better align with specific project requirements and best practices in Terraform d Requirements: Familiarity with the basics of Terraform, including understanding resources, providers, variables, and state management. An active GitHub account is necessary to access GitHub Copilot and to practice code examples provided in the course Familiarity with using a text editor or integrated development environment (IDE) of choice (e.g., VS Code) to edit and manage code files Description: Are you ready to supercharge your HashiCorp Terraform coding with the power of AI? Welcome to the course that will revolutionize the way you approach Infrastructure as Code (IaC) in your DevOps workflow.Imagine having an AI-powered coding assistant that understands HashiCorp Terraform as well as you do, helping you quickly write, optimize, and troubleshoot your infrastructure configurations. That's exactly what GitHub Copilot offers, and in this course, you'll learn how to unlock its full potential.Throughout this course, we'll build complex environments using AWS, using only FREE resources so you can learn without incurring any costs. All skills and concepts can easily be used to build any environment you need and you can even provision resources on other public clouds using the same workflows.Throughout the course, we'll learn and master topics such as:Getting you up to speed with GitHub CopilotShowing you how to integrate this game-changing tool into your existing Terraform and DevOps workflowsUnderstanding how Copilot can help you write Terraform code (HCL) faster, with fewer errors, and more confidenceLearning how to navigate the nuances of AI-generated code, ensuring it's not only functional but also secure and efficient for your infrastructure needs.You'll learn how to develop new code, improve existing code, and even prepare your environment to take advantage of GitHub Copilot.But this course isn't just about learning the tool-it's about transforming the way you work. You'll explore real-world scenarios where Copilot can be your secret weapon, turning tedious coding tasks into quick wins. Whether you're managing cloud infrastructure, automating deployments, or simply looking to improve your Terraform skills, this course is designed to give you the edge in the fast-paced world of DevOps.By the end of this course, you won't just be proficient with GitHub Copilot; you'll be a Terraform powerhouse, capable of leveraging AI to streamline your DevOps processes and deliver results faster than ever before.Don't miss out on this opportunity to elevate your Terraform and DevOps skills-enroll today and take your coding to the next level with GitHub Copilot! Who this course is for: Professionals looking to streamline and automate their Terraform workflow using advanced AI tools like GitHub Copilot Developers interested in enhancing their Terraform skills and leveraging AI-driven assistance to write efficient infrastructure code Individuals responsible for designing and managing cloud infrastructure, seeking to adopt AI technologies for faster and more reliable Terraform deployments Homepage https://www.udemy.com/course/githubcopilot/ Rapidgator https://rg.to/file/4049426a807e13c8d87e674b5ba4b601/urfgj.NEW.GitHub.Copilot.Use.GenAI.to.Write.Terraform.For.You.part1.rar.html https://rg.to/file/06b494a87e2bf69c1ed3615fd14ea71d/urfgj.NEW.GitHub.Copilot.Use.GenAI.to.Write.Terraform.For.You.part2.rar.html Fikper Free Download https://fikper.com/5CKStp0IuW/urfgj.NEW.GitHub.Copilot.Use.GenAI.to.Write.Terraform.For.You.part1.rar.html https://fikper.com/EzJcp7OVfd/urfgj.NEW.GitHub.Copilot.Use.GenAI.to.Write.Terraform.For.You.part2.rar.html No Password - Links are Interchangeable

Complete Git and GitHub Masterclass : Beginner to Git Expert MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 12 Hours | Lec: 114 | 1.57 GB Genre: eLearning | Language: English Most comprehensive, STEP by STEP Git and GitHub tutorial with great examples & quizzes; Hands on Git with GitHub course Course Update series for the latest and greatest: 1st Update - April 29, 2016 (9 lectures added) ** 2nd Update - May 13, 2016 (8 lectures added) ** 3rd Update - June 07, 2016 (5 lectures added) ** 4th Update - June 23, 2016 (18 lectures added) ** 5th Update - July 6, 2016 (7 lectures added) ** 6th Update - July 14, 2016 (4 lectures added) ** 7th Update - July 22, 2016 (4 lectures added) ** 8th Update - Aug 07, 2016 (13 lectures added) ** 9th Update - Aug 15, 2016 (2 lectures added) ** 10th Update - Oct 19, 2016 (several Quizzes added) ** 11th Update - very soon :-) This coursing is expanding . No wonder, this course has emerged as a ONE STOP SHOP for all Git related contents ! ENROLL NOW to take the advantage and grow your skill as the course expands! ***************************************************************************************************************************** This course is aimed at providing rock solid foundation in Git. It covers the most needed basic and intermediate Git concepts that form the foundation of this wonderful source control management system (SCM) so that the student can go up and running within a matter of few hours. However, this is not say that this Git course covers things in hurry. On the contrary, all the foundation Git concepts are explained with utmost care so that the student feels (assuming a newbie or starter) comfortable with the concepts that has been laid down with great consideration and due diligence. The sections devoted to GitHub bears the same hallmark of care & clarity that the sections on Git are marked with. The Git & GitHub course is power-packed with intensive hands on Lab sessions that covers the basic and elemental concepts in great detail. The Labs are the highlights of this Git course which implements all the concepts that are explained thoroughly and exhaustively in the presentations. Course Layout The section "Introduction and Getting Started" covers a great overview of Git that will warm up the student before taking on the concepts layered in the subsequent sections. To spice up things, it briefly covers history of Git. Next, the fundamental prin[beeep]les that govern Git is explained with well illustrated diagrams so that student doesn't face difficulty in facing the Labs that implements those concepts and prin[beeep]les. This section also introduces the Instructor and explains how to go through this Git course so that one get the best out of it. The section "Git Setup and Installation" demonstrates the installation process of Git on all the three prevalent platforms, namely Windows / Linux / Mac. Each platform is covered nicely with detailed explanation so that student does not face any difficulty in understanding the Git setup process and one can get up and running without a hitch. The section "Setting up a Git Repository" explains thoroughly the Git configuration process which forms the basic prerequisites before one goes to the next step of creating Git repositories. Once the prerequisites are taken care of, the subsequent lectures carefully crafts it way through explaining step-by-step process of Git repository creation process. The Git repository creation process comes in three flavors - creating from scratch with nothing on hand, converting an unversioned code base to Git repository and Cloning a Git repository that was existing on GitHub. The section "Committing changes in Git" is where the action starts approaching the climax. Here the student will work on the Labs to in order to understand the few concepts that forms the pillars of Git, namely the "Git states". One can understand how an artifact (file / directory e.t.c) goes through the Git workflow to reach the climactic point wherein the artifacts are safely placed in the Git database. The section "Inspecting what's going on in a Git Repository" explains how to peek into the internal workings of Git. In short - what's going behind the scenes! Git status and log checks are covered in great detail wherein students starts appreciating the beauty of Git. The section "Git Branching basics" covers branching basic concepts. Branching is a advanced concept and attempt has been made not to burden the student with gory details of this advanced concept. The section "Undoing changes in a Git repository" covers great details on the mechanisms you can use to undo changes in Git repository in case one changes his mind and want to revert changes or fix any mess up. Techniques such as resetting, reverting, cleaning and checkout for a Git repository have been treated with great care and detail. The section "Pushing into GitHub" makes things hotter when the students starts learning how to extend one's arms beyond his local repository in local machine to a remote repository on GitHub. The local-remote interaction and play is fascinating as the lectures in this section unravels usage if Git and GitHub in step-by-step manner. The section "GitHub via SSH" is an advanced one and hence had been kept for the last. Here you will learn how to connect with GitHub via SSH protocol. In the learning process, the student will learns basics of public key cryptography and it's implementation w.r.t GitHub. SSH key generation and using them to connect local Git repository and GitHub forms a stimulating walk in the entire learning path. The section "Making Git bash friendlier and productive" will empower you to have Git bash prompt that allows customization in terms of it's content, color and functionality. It makes Git commands and their output highly readable and adds more expressiveness and color to all operations in the git bash terminal. The section "Installing and Configuring default text editor for Git" demonstrates how to install a graphical text editor (Sublime Text) and configure it as the default text editor for Git. The section "Installing and Configuring Diff and Merge tool for Git repository" demonstrates how to install and configure "p4merge" as Git diff and merge tool. The section "Git Comparison with Git Diff Tool (p4merge)" demonstrates how to perform Git comparisons between various sections of a Git repository using "p4merge" The section "Git Branching and Merging techniques" demonstrates advanced techniques for Git Branching and Merging that includes - fast-forward merge, no-fast-forward merge, 3-way merge along with merge conflict resolution process. The section "Commit History rewriting in Git" demonstrates various technique for modifying commit history to suit your project needs. You can amend your commits, do a rebase and so on. The section "Git Tagging" demonstrates how to use tags to mark production releases with tags and how to manipulate tags for best outcome The section "Git Toolset" demonstrates git tool "stash" which is an extremely convenient tool to save off unfinished work. On the final note in the section "Let's wrap up", the Instructor thanks the course taking students with some bonus tips! Course Features The course is heavily hands on with lots of great Lab sessions interspersed with brief slide presentations illustrating and unfurling the conceptual maze. All the commands that have been used in the relevant sections has been summarized in the form of text / pdf at the end of each section to consolidate the concepts that was laid down previously. Money back guarantee! If you enroll in this course, I guarantee you satisfaction of learning this hot technology with awesome lecture and Labs! However, there is nothing to loose, if you feel otherwise, since any course comes with 30 day money back guarantee! SO WHY WAIT! ENROLL IN THIS COURSE NOW! 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O'Reilly Learning Path: GitHub .M4V/.MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 161 kbps, 2 Ch | 9.9 hours | 1.34 GB Instructor: Christophe Porteneuve For tracking, branching, merging, and managing code revisions there's no resource more popular than GitHub. The default platform for software development collaboration, GitHub is also ideal for collaborating on other text-based documents. With this Learning Path, you'll learn how to use GitHub to improve your workflow, collaborate effectively, and be more productive overall. You'll even learn how to build your own tools on top of GitHub technologies. Contents Learning GitHub by Christophe Porteneuve Learn how to set up and manage repositories for sharing and collaboration in GitHub. You'll begin this course by learning about the GitHub workflow, including how to create and manage branches and pull requests. From there, you'll learn about repository management, key terms, switching visibility, and collaborators and permission levels. Finally, you'll learn how to be social and collaborative, including how to watch repositories and follow people, choose licenses, and write a great README. You should be reasonably comfortable with Git for this course, but no experience with GitHub is necessary. Mastering GitHub by Christophe Porteneuve In this step of your Learning Path, you'll cover everything you need to know about advanced GitHub Pages, integrating GitHub with external services, using the GitHub API, and advanced account management. You'll see how to use GitHub.com faster with keyboard shortcuts, as well as how to make use of third-party services for advanced workflow automation. Next, you'll get practice writing custom integration servers and command-line tools using the GitHub API. And finally, you'll tackles advanced account management, with a focus on organization management, and the nitty-gritty of billing and payments. DOWNLOAD http://rapidgator.net/file/44c03eaf6586e9ea6062a3655d354b5b/umnto.OReilly.Learning.Path.GitHub.part1.rar.html http://rapidgator.net/file/5653de3bb25890b5a83ba4440fe261a3/umnto.OReilly.Learning.Path.GitHub.part2.rar.html https://bytewhale.com/x9y6rghl02u1/umnto.OReilly.Learning.Path.GitHub.part1.rar https://bytewhale.com/dta054k2lo55/umnto.OReilly.Learning.Path.GitHub.part2.rar http://uploaded.net/file/nxo51r4t/umnto.OReilly.Learning.Path.GitHub.part1.rar http://uploaded.net/file/f758igtd/umnto.OReilly.Learning.Path.GitHub.part2.rar https://www.bigfile.to/file/FXtBJ5q9SRrm/umnto.OReilly.Learning.Path.GitHub.part1.rar https://www.bigfile.to/file/3XUDQ92pvQ8Y/umnto.OReilly.Learning.Path.GitHub.part2.rar http://nitroflare.com/view/7C2F55650DBA613/umnto.OReilly.Learning.Path.GitHub.part1.rar http://nitroflare.com/view/AEB9D368C577732/umnto.OReilly.Learning.Path.GitHub.part2.rar http://uploadgig.com/file/download/e278862A6D0efa3e/umnto.OReilly.Learning.Path.GitHub.part1.rar http://uploadgig.com/file/download/5eC546f361ec5f45/umnto.OReilly.Learning.Path.GitHub.part2.rar

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