Executive Development Programme in Efficient Python Package Management

This course is designed for business executives and technical managers aiming to enhance their Python package management skills. Participants will learn to optimize project setup, manage dependencies efficiently, and integrate third-party libraries seamlessly, crucial for modern software development.

Upon completion, attendees will gain the ability to streamline their development process, reduce errors, and improve project delivery timelines. They will also understand the best practices for package management in corporate environments, ensuring alignment with organizational goals and standards.

1. 1. Introduction to Python Package Management: Learners will explore the basics of Python package management, including package installation, versioning, and dependencies. They will gain practical skills in using pip and virtual environments.
2. 2. Managing Dependencies with Pip and Pipenv: This module covers the use of pip and Pipenv for managing project dependencies, ensuring consistency across development and production environments. Practical skills include creating and managing Pipfile and Pipfile.lock.
3. 3. Introduction to Setuptools and Wheel: Learners will learn how to use setuptools and wheel to create, build, and distribute Python packages. They will gain skills in defining package metadata and creating distribution packages.
4. 4. Advanced Package Management with Poetry: This module delves into Poetry, a package and dependency management tool for Python. Learners will understand how to use Poetry for project setup, dependency management, and package development.
5. 5. Understanding and Using Virtual Environments: This module focuses on the creation, management, and use of virtual environments in Python projects. Practical skills include setting up isolated environments and managing project dependencies without conflicts.
6. 6. Best Practices for Python Packaging: Learners will learn best practices for packaging Python projects, including naming conventions, versioning strategies, and licensing considerations. They will gain the ability to create well-structured and maintainable Python packages.
7. 7. Automated Testing and Continuous Integration: This module covers the integration of automated testing and continuous integration into package development. Learners will learn how to set up and use tools like tox and GitHub Actions for testing and CI/CD pipelines.
8. 8. Publishing Python Packages to PyPI: In this module, learners will learn the process of publishing Python packages to the Python Package Index (PyPI). Practical skills include creating an account, preparing a package, and submitting it for review.
9. 9. Monitoring and Maintaining Python Packages: This module covers the importance of monitoring and maintaining Python packages. Learners will learn how to track package usage, handle security vulnerabilities, and maintain package updates.
10. 10. Advanced Topics in Python Package Management: This final module explores advanced topics in Python package management, including package documentation, internationalization, and packaging for different platforms. Learners will gain skills in creating comprehensive and user-friendly Python packages.