Modern Dependency Management (Poetry, Pipenv)

Managing dependencies is a fundamental challenge in any software project, and Python is no exception. As projects grow in complexity and rely on an increasing number of external libraries, ensuring reproducible environments becomes critical. The traditional approach using `pip` and `requirements.txt`, often combined with `venv` or `virtualenv`, has served the community for years, but it comes with limitations that modern workflows aim to address.

The primary issue with `requirements.txt` is its simplicity; it typically lists dependencies at a specific version or range but doesn't inherently manage transitive dependencies effectively. This can lead to dependency conflicts, especially when working with multiple projects or deploying to different environments. Pinning *all* dependencies explicitly in `requirements.txt` is a common workaround, but manually maintaining such a file can become tedious and error-prone.