20 Underdog Python Built-in Libraries That Deserve Much More Attention

Author(s): Bex T.

Originally published on Towards AI.

Time to go out of the shadows — the built-in library

Image by me with Midjourney

Most people think Python’s mass dominance is due to its powerful packages like NumPy, Pandas, Sklearn, XGBoost, etc. These are third-party packages written by professional developers, often with the help of other faster programming languages like C, Java, or C++.

So, one of the feeble arguments haters might throw against Python is that it won’t be as popular once you strip away all the glory these third-party packages bring. I am here to say otherwise and show that standard Python is already powerful enough to give a serious run for any language’s money.

I bring to your attention… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI