Tag: Python

Whether you’re collaborating with a human or a coding agent, .ipynb is a collaboration killer. Jupyter notebooks changed how we explore data. The ability to run code in cells, see outputs inline, and iterate quickly changed how we analyze data. But .ipynb files come with friction: version control is annoying, limited editor support, and a completely separate workflow from your production code.

But you don’t have to choose between interactivity and sanity. Modern editors now support running Python interactively in regular .py files, giving you the best of both worlds.

For years, Python developers used the os.path module for file system operations, working with paths as strings. Python 3.4 introduced pathlib, a modern object-oriented approach that makes path handling more intuitive and readable.

In this post, I’ll show you how pathlib improves upon traditional os.path patterns, helping you write cleaner path-handling code.

The Traditional Approach: os.path#

The os.path module represents paths as strings. While functional, this approach requires remembering various function names and often leads to verbose code: