Version Control with Git: Step-by-Step Tutorial!: 3-in-1 (Udemy.com)

Three complete courses in one comprehensive training program.   

Using Git, you can track the history of file and code changes, deliver new versions of software without relying on any continuous delivery mechanisms, and protect your code from any mistakes made while programming! Git version control gives developers the capability to manage, version, release, and share a code base, free from the nightmare of breaking code. With an enhanced workflow and a faster release cycle, it makes agile software development much easier. Controlling your projects—small or large—is easier now, owing to the advanced functionalities that Git brings with it. It will help you implement that perfect workflow you have been looking for!

This comprehensive 3-in-1 course is an easy-to-follow guide full of examples to help you gain knowledge and expertise in Git. To begin with, you’ll learn how to create, contribute to, and collaborate on software projects using Git. Set up Git repositories, clone an existing repository, and work with local and remote branches and tags. You’ll also manipulate and change the Git commit history, to tackle practical workflow problems. Integrate external software into your project without affecting your app, with the help of SubModules. Finally, manage your projects with the aid of hands-on exercises that make Git version control easy for you!

By the end of the course, you’ll learn versioning and manage your code to deliver projects with better performance using version control with Git!

Contents and Overview

This training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.

The first course, Learn Git in 3 Hours, covers building powerful and effective projects using Git Version Control Systems. In this course, we’ll teach you the basics of using Git and explain how it works. To begin with, we’ll show you how to install Git and effectively use your computer’s terminal or command line to navigate the file system and create and edit files. Then we’ll cover all the commonly used commands in Git that make up the vast majority of any Software Engineer’s workflow.
Moving on, we’ll explain Git’s branching workflow, why it’s such a useful feature, and how to use it in your projects. Once you’ve learned all this, we’ll discuss some advanced Git workflow techniques that will make you a valued contributor and collaborator on any project. You’ll be able to create your own Git repositories or clone and contribute to existing ones. This will allow you to track the changes to sets of files over time, recover data you might lose, and collaborate with others on projects. You’ll have a profound understanding of Git’s branching workflow, and how to use it in the best possible way in your projects. By the end, you’ll be familiar with using Git and use VCS to handle large projects easily and make well-crafted contributions to your own or others’ projects.

The second course, Hands-On Version Control with Git, covers better project workflows with Distributed Version Control. In this course, you will learn how to use distributed version control to record changes to the project file system to optimize workflows. Git is a highly sought after skill when it comes to landing a programming job. However, Git can be pretty useful even to non-programmers such as designers, authors, and so on. You'll learn how to configure your environment to use Git, exploring the inbuilt tools for migrating without losing code files. You'll explore the Git data model and how you can navigate through databases with simple commands. You'll debug your application with Git and use various techniques to find faulty commits. You'll also learn to go remote with your repository with GitHub, updating and cloning remote repositories. Then you'll set up your repositories in BitBucket cloud. You will set up your own Git repositories, configure access, find and recover from repository errors, and perform repository maintenance and troubleshooting. Finally, you will work with centralized and distributed version control systems and see how to use Git to bring order to the chaos of collaborative software development. By the end of the tutorial you'll have figured out how to use Git, mastered workflows (from basic to open source), and adopted the one that fits your needs

The third course, Mastering Git, covers managing your projects with the aid of hands-on exercises that make Git version control easy for you! This course is an exploration of solo and collaborative Source Control Management with the intention of expanding and improving your confidence and expertise with Git. You’ll begin with a brief overview of Source Control Management before setting up and verifying your Git installation. Then, you’ll move on to a more detailed look at the Git workflow and explore variants and the not-so-rare “special situations”. With a strong understanding of the Git history and structure, you’ll learn how to use power tools as Branching, Merging, Reset, Revert and so on. Next, you’ll take a deep dive into more intriguing features of Git such as Rebase, Stash, Aliases, and Patches. You will explore several examples of these commands to improve the efficiency of using Git. Finally, when you have mastered the various tools provided by Git, you’ll be provided with some suggestions that’ll help you to move forward with Git. Once you are done with this course, perhaps you will be the one providing answers to others in trouble!

By the end of the course, you’ll learn versioning and manage your code to deliver projects with better performance using version control with Git!

About the Authors

●        Ross Conyers is a Computer Science Graduate and Software Engineer who started programming and building computers in his teens and went on to study Computer Science at the University of St Andrews. When he started programming, he worked with web technologies and Java. During his degree, he focussed on network programming and have developed a love of all things. Throughout his work, he did programming mostly in Python, working on high traffic, data-intensive, distributed systems that are used by millions of people per day. He believes to share some of his knowledge gained within several years.