Mastering Python Dependency Management with requirements.txt and Beyond it

Dependency management is a cornerstone of robust Python development. As projects grow, managing libraries, their versions, and interactions becomes critical to avoid the dreaded “works on my machine” syndrome. This guide dives deep into resolving dependency issues using requirements.txt, while incorporating modern tools, security practices, and advanced workflows to keep your projects stable and scalable.

Table of Contents

1. The Importance of Dependency Management
2. Understanding requirements.txt
3. Creating a Reliable requirements.txt
4. Installing Dependencies Safely
5. Resolving Common Dependency Issues
6. Best Practices for Bulletproof Dependency Management
7. Advanced Tools: pip-tools, pipenv, and Poetry
8. Security and Compliance
9. The Future: pyproject.toml and PEP 621

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