โš ๏ธ Itโ€™s time to stop using Python 3.7 (pythonspeed.com)
Support for version 3.7 ends in June 2023! It’s high time to migrate if you havenโ€™t already. [EDIT 2025-01-20: original link broken, replaced by an Internet Archive link]

๐ŸŒฑ mlco2/codecarbon: Track emissions from Compute (github.com)
A nice find that allows you to evaluate and track the carbon footprint of your running Python code, a good tool to integrate eco-design into your development practice?

๐Ÿ“Š PyArrow and the future of data analytics (youtube.com)
An informative presentation of the capabilities of PyArrow, the “Swiss knife of data,” compatible with various technologies including Numpy and Pandas.

๐Ÿ›ก๏ธ DataDog/guarddog: GuardDog is a CLI tool to Identify malicious PyPI packages (github.com)
Continuing the recent updates on malicious PyPI packages, hereโ€™s a tool to help protect against them.

โšก PyTorch 2.0 (pytorch.org)
A detailed review of this major new version of PyTorch, which promises speed, dynamism, and pythonicity (I just invented that word).

๐Ÿ“š Natural Language Processing Demystified (nlpdemystified.org)
A complete and truly free course (no signup) to understand the fundamentals of NLP.

๐Ÿ–ผ๏ธ comet-ml/kangas: ๐Ÿฆ˜ Explore multimedia datasets at scale (github.com)
A new tool in beta for exploring and analyzing large multimedia datasets (images, sound, videos).

๐Ÿš€ exaloop/codon: A high-performance, zero-overhead, extensible Python compiler using LLVM (github.com)
A Python code compiler with support for OpenMP and Nvidia GPUs. Note the BSL license, which allows non-commercial use only but transitions to Apache 2.0 after 3 years.

๐Ÿ” Has your password been pwned? Or, how I almost failed to search a 37 GB text file in under 1 millisecond (death.andgravity.com)
A post presenting the results of a progressive optimization exercise, quite technical but informative.

โญ vinta/awesome-python: A curated list of awesome Python frameworks, libraries, software and resources (github.com)
The famous “awesome-python” where youโ€™ll find hundreds of useful Python packages in all sorts of domains.