ACCESS_TOKEN

USERNAME

REPOSITORY

PULL_NUMBER

RELEASE_ID

DEPLOYMENT_ID

Managing Your Codebase with the GitHub API in Python.png

GitHub.tar.gz

demo-app

GitHub is one of the most popular code management platforms for software engineers. Developers can use Git to create and edit both personal and shared repositories, control access, and fork projects into various branches. These changes are approved by collaborators and merged back into the main branch before a final release.

This course will walk you through various GitHub APIs and their endpoints. You’ll be introduced to authentication and integration with a GitHub developer account to leverage the APIs to manage your code. Next, you’ll learn to manage repositories, branches, commits, projects, collaborators, and more. By the end of this course, you’ll be able to build a demo application integrated with GitHub APIs.

Managing Your Codebase with the GitHub API in Python

## Overview

**Collaborators** are the users invited by the owner to help in software development. The read and write permissions mean that the collaborators can pull the contents of the repository, make the required changes, and push the content back. A repository owner sends a collaboration invite to the user they wish  to collaborate with. This invite needs to be accepted within seven days, after which it expires. There’s no limit to the number of collaborators that can be added to a specific repository.

# Overview

**Collaborators** are the users invited by the owner to help in software development. The read and write permissions mean that the collaborators can pull the contents of the repository, make the required changes, and push the content back. A repository owner sends a collaboration invite to the user they wish  to collaborate with. This invite needs to be accepted within seven days, after which it expires. There’s no limit to the number of collaborators that can be added to a specific repository.

Learn and practice the functionalities of collaborators in the GitHub API.

Introduction

Code Management

Collaboration

Deployment

APIs Integration in Django

Conclusion

Collaborators

Overview