Executive Development Programme in Efficient Python Package Management with Virtual Environments

This course is designed for executives and managers looking to enhance their technical leadership skills in Python development. Participants will learn to manage Python packages efficiently and understand the importance of virtual environments in project isolation, streamlining development, and ensuring consistency across development environments.

By the end of this program, attendees will master the use of package managers like pip and conda, and be proficient in setting up and managing virtual environments. They will also gain insights into best practices for project setup, dependency management, and version control, enabling them to make informed decisions that boost their team's productivity and project success.

1. 1. Introduction to Python Package Management: Learners will understand the importance of package management in Python and explore the basics of packaging and distribution. Practical skills include creating and publishing a simple package.
2. 2. Understanding Virtual Environments: This module covers the concept of virtual environments and how they are used to manage project dependencies. Learners will create, activate, and manage virtual environments effectively.
3. 3. Using pip for Package Installation: Learners will learn how to install, upgrade, and uninstall Python packages using pip. Practical exercises will include managing project dependencies and resolving version conflicts.
4. 4. Introduction to Dependency Management: This module introduces learners to managing dependencies in Python projects. They will learn how to create and use `requirements.txt` files and explore the role of dependency resolution in project setups.
5. 5. Advanced pip Features: In-depth exploration of advanced pip features such as custom indexes, constraints files, and specifying package versions. Practical exercises will reinforce these concepts.
6. 6. Virtual Environment Best Practices: Learners will learn best practices for setting up and managing virtual environments. Topics include environment naming conventions, version control integration, and project-specific environment guidelines.
7. 7. Introduction to Poetry: An introduction to Poetry, a tool for dependency management and packaging in Python. Learners will create and manage projects with Poetry, focusing on its unique features and benefits.
8. 8. Managing Complex Project Dependencies: This module covers managing complex project dependencies and resolving conflicts. Learners will use advanced techniques like environment isolation and dependency graph analysis.
9. 9. Continuous Integration with Virtual Environments: Introduction to integrating virtual environments into CI/CD pipelines. Learners will set up and use virtual environments in Jenkins, GitHub Actions, and other CI tools.
10. 10. Advanced Topics in Package Management: An exploration of advanced topics in Python package management, including custom package repositories, package signing, and security best practices.