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Apr 6, 2024 · We've navigated the essential Git operations, including setting up a repository, linking the local repository to its remote counterpart on GitHub, synchronizing changes between the local and remote repositories, executing Git commands, branching, initiating pull requests, and merging those requests.
Learn how to use GitHub to create new repositories, clone repositories locally, commit changes and manage project files.This full-length tutorial is an intro...
- 8 min
- 1.5M
- Anson Alexander
This tutorial teaches you GitHub essentials like repositories, branches, commits, and pull requests. You'll create your own Hello World repository and learn GitHub's pull request workflow, a popular way to create and review code.
- What Is Git?
- How Does Git Work?
- Git For Data Science Projects
- Collaboration with GitHub
- Basic Commands
- Getting Started
- Conclusion
Git is a distributed, open-source version control system. It enables developers and data scientists to track code, merge changes and revert to older versions - AWS. It allows you to sync changes with a remote server. Due to its flexibility and popularity, Git has become an industry standard as it supports almost all development environments, comman...
Git stores your files and their development history in a local repository. Whenever you save changes you have made, Git creates a commit. A commit is a snapshot of current files. These commits are linked with each other, forming a development history graph, as shown below. It allows us to revert back to the previous commit, compare changes, and vie...
Git provides version control for scripts, metrics, data, and models. By using Git extension git-lfs, you can store and version a large database and machine learning models. In a typical data science project, you have a Jupyter notebook, dataset, model, metadata, and model metrics. The metadata includes files containing meta-information about the ma...
GitHubis a cloud software development platform. It is commonly used for saving files, tracking changes, and collaborating on development projects. In recent years, GitHub has become the most popular social platform for software development communities. Individuals can contribute to open-source projects and bug reports, discuss new projects and disc...
Before we jump into managing data science projects, let's learn about the most common Git commands that you will be using in every data science project. The basic commands include initializing the Git repository, saving changes, checking logs, pushing the changes to the remote server, and merging. 1. git initcreate a Git repository in a local direc...
In this section, we are going to use Git to track a data science project and GitHub as a remote server. We will learn how to install Git, create and clone a repository from GitHub, run machine learning experiments, and push changes (notebook, model, data) to GitHub using Windows PowerShell 7.
GitOps are crucial for data application development. They have become an essential skill for all types of IT jobs; even academic researchers are using them to share experimental code with a wider audience. On the other hand, GitHub plays a larger role in promoting open-source projects by providing a free software development ecosystem for all. In t...
Nov 6, 2019 · What is Git? Git is a free, open-source version control software. It was created by Linus Torvalds in 2005. This tool is a version control system that was initially developed to work with several developers on the Linux kernel. This basically means that Git is a content tracker.
GitHub Skills’ “Introduction to GitHub” course guides you through everything you need to start contributing in less than an hour. Who is this for: New developers, new GitHub users, and students. What you'll learn: We'll introduce repositories, branches, commits, and pull requests.
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Learn the basics of GitHub. About GitHub and Git. You can use GitHub and Git to collaborate on work. Creating an account on GitHub. Create a personal account to get started with GitHub. Hello World. Follow this Hello World exercise to learn GitHub's pull request workflow. Setting up your profile.
