This library enables you to manage GitHub resources such as repositories, user profiles, and organizations in your Python applications.

There is a very valid use case for this: Distributing private/internal AWS CDK constructs. For AWS CDK TypeScript/JavaScript and Python are the most used languages, which means that (most) constructs need to be published both into npm- and pypi-compatible registries. For private/internal packages, GitHub Packages is the most obvious solution.

Sep 25, 2024 by Python in python/cpython-devcontainers · 198k · devcontainer · Published · Sep 25, 2024 by Python in python/cpython-devcontainers · 36k · wasicontainer · Published · Oct 6, 2025 by Python in python/cpython-devcontainers · 7.44k · planetpython ·

An asynchronous python wrapper around the GitHub API

Reusable core utilities for various Python Packaging interoperability specifications.

February 24, 2025 - Creating a Python package, publishing it on GitHub, and installing it from local and remote repositories, step-by-step tutorial with code example

October 20, 2024 - Github repository link : https://github.com/ABDELLAH-Hallou/Private-Python-Package-Deployment

The Python Package Index. Contribute to pypi/warehouse development by creating an account on GitHub.

from github import Github # Authentication is defined via github.Auth from github import Auth # Using an access token auth = Auth.Token("access_token") # Public Web Github g = Github(auth=auth) # Github Enterprise with custom hostname g = Github(auth=auth, base_url="https://{hostname}/api/v3") # Use lazy mode (see https://pygithub.readthedocs.io/en/stable/examples/LazyMode.html) g = Github(auth=auth, lazy=True) ... for repo in g.get_user().get_repos(): print(repo.name) repo.edit(has_wiki=False) # to see all the available attributes and methods print(dir(repo)) ... This package is in the Python Package Index, so pip install PyGithub should be enough.

The Python Package Index has 15 repositories available. Follow their code on GitHub.

Technically, you can install the module by running python setup.py install, however it’s much more convenient to wrap it all up and distribute online. This is my preferred way of sharing/storing/installing packages. Simply create a git repo of the project directory, and put it somewhere. Then, use pip to install it from that repo directly · pip install git+https://github.com/jladan/package_demo.git#egg=measurements

This has a slightly simplified ... Python. Happy to accept PRs for suggested improvements. package-project contains a project directory for a Python package....

You can use the ones provided by GitHub. Alternatively, it is possible to use your own. If you click on "set up a workflow yourself" you can create your workflow. ... name: Upload Python Package on: push: branches: [main] jobs: deploy: runs-on: ubuntu-latest steps: - uses: actions/checkout@v2 - name: Set up Python uses: actions/setup-python@v2 with: python-version: '3.x' - name: Install dependencies run: | python -m pip install --upgrade pip pip install setuptools wheel - name: Build run: | python setup.py sdist echo `ls dist/` - name: qbee.io authentication uses: qbee-io/authenticate-action@main with: login: ${{ secrets.USERNAME_KEY }} password: ${{ secrets.PASSWORD_KEY }} - name: qbee.io file upload uses: qbee-io/qbee-io/file-upload-action@main with: source: 'dist/py_qbee_tst-0.1.tar.gz' destination: '/'

2 weeks ago - The Python package installer. Contribute to pypa/pip development by creating an account on GitHub.

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July 23, 2025 - pip install "Package" @ git+"URL of the repository#egg=<pkg_name>" For example, installing NumPy. pip install GFG @ git+https://github.com/numpy/numpy#egg=Numpy

GitHub Actions CI/CD allows you to run a series of commands whenever an event occurs on the GitHub platform. One popular choice is having a workflow that’s triggered by a push event. This guide shows you how to publish a Python distribution whenever a tagged commit is pushed.

This comprehensive tutorial explores the process of installing Python packages directly from GitHub repositories.

This library enables you to manage GitHub resources such as repositories, user profiles, and organizations in your Python applications.