Nicolas Chagnet's Homepage nchagnet.eu

dry-python/returns: Make your functions return something meaningful, typed, and safe!

github.com·81w

Blog of Claudio Jolowicz

cjolowicz.github.io·82w

shap/shap: A game theoretic approach to explain the output of any machine learning model.

github.com·19w

Summary of Major Changes Between Python Versions

nicholashairs.com·84w

Introduction to Data Science

rafalab.dfci.harvard.edu·84w

Was Michael Scott the World’s Best Boss?

datacream.substack.com·85w·Substack

Visualizing Algorithms

bost.ocks.org·85w

dleemiller/WordLlama: Things you can do with the token embeddings of an LLM

github.com·87w

Blog | Ising model, Metropolis sampling and genetic algorithms

nchagnet.pages.dev·87w

Blog init .

nchagnet.pages.dev·87w

PicoCSS – CSS Framework for Semantic HTML, Classless Option, Extensible via SASS

picocss.com·68w·Lobsters, Hacker News, Hacker News

posit-dev/great-tables: Make awesome display tables using Python

github.com·88w

Hyperfine: A command-line benchmarking tool

github.com·77w·Hacker News

REDOKU

padolsey.github.io·89w

Modern SQL Style Guide

gist.github.com·92w

Column Names as Contracts

emilyriederer.netlify.app·93w

A User’s Guide to Statistical Inference and Regression

mattblackwell.github.io·93w

Machine Learning Notebooks

sebastianraschka.com·114w

Python Data Science Handbook

jakevdp.github.io·117w

faif/python-patterns: A collection of design patterns/idioms in Python

github.com·117w

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