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News & links about Python programming.
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PyStack

PyStack is a tool that uses forbidden magic to let you inspect the stack frames of a running Python process or a Python core dump, helping you quickly and easily learn what it's doing (or what it was doing when it crashed) without having to interpret nasty CPython internals.

https://github.com/bloomberg/pystack
PyCon US 2023 Video

Recordings from PyCon US 2023 in Salt Lake City, UT.

https://www.youtube.com/playlist?list=PL2Uw4_HvXqvY2zhJ9AMUa_Z6dtMGF3gtb
Don’t let yourself be fooled by data drift

The purpose of this post is to demonstrate that not all data drift impacts model performance. Making drift methods hard to trust since they tend to produce a large number of false alarms. To illustrate this point, we will train an ML model using a real-world dataset, monitor the distribution of the model's features in production, and report any data drift that might occur.

https://www.nannyml.com/blog/when-data-drift-does-not-affect-performance-machine-learning-models
Image Dithering FAST In Python

In this video, the concept of image dithering is explained, showcasing how dithering algorithms can effectively display images on black and white monitors while preserving reasonable contrast. The video provides coding examples utilizing packages like NumPy, Pillow, and Matplotlib to demonstrate the implementation of these algorithms.

https://www.youtube.com/watch?v=Ld_cz1JwRHk
Python for Finance: Pandas Resample, Groupby, and Rolling

Learn how you can use resample, groupby, and rolling in pandas and supercharge your workflows with Ponder!

https://ponder.io/python-for-finance-pandas-resample-groupby-and-rolling/