đź“Ś Awesome Python
This is one of those classic GitHub resources I bookmarked a long time ago but only recently gave a proper look. I’ve been in the process of refining which tools I actually want in my workflow, and this list has been a great companion for that.
đź“Ś Awesome Python
A curated list of Python libraries and tools, organized by use case, from data science and web frameworks to testing, CLI apps, and DevOps.
Reflections
What I appreciate about this list is how easy it makes it to scan the landscape without falling into a documentation spiral. When you’re trying to compare tools or see what’s out there beyond the defaults, it’s incredibly useful to have a high-level reference like this.
Why I keep coming back to it:
- It’s organized by category, so you can zero in on what you’re actually trying to do (APIs, file handling, dashboards, testing, etc.). I think this helps a bit with the “drinking from a firehose feeling”.
- It surfaces lesser-known but powerful libraries that don’t always show up in Google or StackOverflow searches.
- It’s a solid reminder of how wide the Python ecosystem really is, and how much already exists, especially when you’re tempted to write something from scratch.
I plan to start looking back at this more frequently as I clean up my own Python stack, deciding what’s core, what’s project-specific, and what’s just good to know exists when the right use case comes up.
This post builds on a recent LinkedIn #BookmarkDive reflection, feel free to join the conversation there.