the top Reddit posts from r/python for the past day

Latest posts:

ChatGPT-Desktop-Webview GUI app.

Auto bingo dabber

Matrix Rain, Screen Transitions and Palette Explorations · Discussion #1510 · Textualize/textual

Researchers from Meta AI released ‘balance,’ a Python Package for Balancing Biased Data Samples

Deep-timeit: Break down your functions line by line to find the bottlenecks!

tempy: render beautiful weather data to your terminal

ChatGPT is coming for python devs

Saturday Daily Thread: Resource Request and Sharing! Daily Thread

As per the title, are there any packages in Python or R that automatically fit, Mathematica style, stochastic volatility models like the Heston model to data? Thanks

Quantum Machine Learning: A Beginner’s Guide

Announcing a stable release of sigstore-python

10 Tips to Optimize PostgreSQL Queries in Django - w/ Jupyter notebook

super lightweight (only 35 lines) dependency injection (ioc) support for Python

Why Polars uses less memory than Pandas

GitHub - 0ut0flin3/openai-davinci003-python-speech: A Python script to use OpenAI's text-davinci-003 model using your own voice instead of text, in any language

einspect - Mutate tuples, strings, ints. View and write to C Structs of live Python objects. Implement new methods for built-in types... and more 👀

atomfeed.py - A single file atom feed library with no dependencies

Mockitup - Convenient DSL around `unittest.mock`

what are some great ways to study for Python programming interview questions?

Is it still relevant today to take a Python and Pandas course that was created two years ago?