Abstract
Mutiple packages came to solve the speed issue of python in scientific computing. The de facto standard is of course numpy. Think also numba, jax, torch or even a new language 
that go beyond what numpy offers. This post is a quick intro to my personal preference as of Jan 2025.
Abstract
This mini-tutorial is a beginner's cheatsheet to python packaging. Check Python packaing user guide for an authoritative guidance on the topic.
polars for pandas expertsAbstract
pandas is a standard tool for every data professional, although it does not scale well in production.
Yet, being a standard is a strategic position to be, as libraries coming to solve the scale issue tend to meet data professionals where they are, by mimicing the pandas API (think: dask, pyspark.pandas).
polars is a new-ish tool that is probably replacing pandas at the time of writing. The goal of this post is to introduce the kind of mindset change needed to fully exploit polars in production.
Abstract
Material for mkdocs is a documentation framework adopted by many popular python libraries e.g. this, this and this. The plugins and markdown extensions make writing rich technical content delightful e.g. maths, code, docstring parsers, and more. The main apeal of the project is that "it's just markdown" (with a bit of extended syntax). This tutorial provides a step by step intro to setting up a blog website (such as this one!) with this framework.