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Jun 30, 2024 · GitHub is a web-based platform that hosts Git repositories, providing developers with tools for version control and collaboration. Whether you are working on a small personal project or a large enterprise application, GitHub can streamline your workflow and enhance productivity.
Apr 6, 2024 · What is GitHub used for? Common tasks you'll perform with Git. How to install Git. How to configure Git. How to set the default editor. How to create a repository using the Github website. How to create a repository using the Git command line. How to connect a local repository to a remote repository on GitHub.
May 27, 2024 · Git is a version control system that tracks file changes and GitHub is a platform that allows developers to collaborate and store their code in the cloud. Think of it this way: Git is responsible for everything GitHub-related that happens locally on your computer.
Nov 5, 2021 · This tutorial will help you understand what Git and version control are, the basic Git commands you need to know, how you can use its features to boost your work efficiency, and how to extend these features using GitHub.
- 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.
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How GitHub works. GitHub hosts Git repositories and provides developers with tools to ship better code through command line features, issues (threaded discussions), pull requests, code review, or the use of a collection of free and for-purchase apps in the GitHub Marketplace.