Undergraduate Certificate in Developing Python Packages: Sharing Your Code with the World

This course is designed for undergraduate students, software developers, and Python enthusiasts looking to enhance their skills in creating, packaging, and distributing Python software. You will learn the essential tools and best practices to package your Python code for distribution, enabling you to share your work with a global community of developers.

By the end of this course, you will have hands-on experience in creating reusable Python packages, understanding package dependencies, and deploying your code using popular platforms like PyPI. You will also gain knowledge in version control, documentation, and testing, equipping you with the skills necessary to contribute effectively to open-source projects.

1. 1. Introduction to Python Packaging: Learners will understand the basics of Python packaging, including why packaging is important and how to set up a development environment for creating Python packages. They will gain foundational knowledge and practical skills in using tools like `setuptools`.
2. 2. Writing Your First Python Package: Learners will write, structure, and organize their first Python package. They will learn to author setup files, define package metadata, and organize code using `__init__.py` files. Practical skills include creating a package that can be installed and imported.
3. 3. Testing Python Packages: Learners will study unit testing and integration testing for Python packages. They will learn to write and run tests using `unittest` and `pytest`, and understand how to ensure their package is robust and reliable.
4. 4. Version Control with Git: Learners will learn to use Git for version control, a crucial skill for managing code changes and collaborating with others. They will understand branching, merging, and using Git for publishing their package on platforms like GitHub.
5. 5. Packaging and Distributing Python Packages: Learners will learn how to package their Python code into a distribution package and upload it to PyPI (Python Package Index). They will gain hands-on experience in creating a `setup.py` file and using `twine` to distribute their package.
6. 6. Documentation and README: Learners will learn the importance of documentation and how to write comprehensive documentation for their Python packages. They will create a `README` file, use Sphinx for generating documentation, and learn best practices for documenting code.
7. 7. Advanced Packaging Techniques: Learners will explore advanced packaging techniques, including creating wheel files, using `conda` for distribution, and packaging C extensions. They will learn how to optimize their package for different deployment scenarios.
8. 8. Deployment Strategies: Learners will study deployment strategies for Python packages, including continuous integration and deployment (CI/CD) pipelines using tools like GitHub Actions or Jenkins. They will learn to automate testing, packaging, and deployment processes.
9. 9. Contributing to Open Source Projects: Learners will learn how to contribute to open source Python projects, understand project workflows, and engage with the Python community. They will gain practical experience in forking, cloning, contributing code, and submitting pull requests.
10. 10. Developing a Real-World Python Package: Learners will apply all the skills learned throughout the programme by developing a real-world Python package. They will work through the entire process from initial idea to final release, including writing code, testing, documenting, and distributing the package.