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A Visual Introduction to Machine Learning (2015)(r2d3.us)
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R2D3's interactive scrolling essay introducing machine learning concepts by building a decision tree to classify homes in New York versus San Francisco.
Bayesian Analysis with Python(bap.com.ar)
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Introduction to Modern Statistics(openintro-ims2.netlify.app)
665 points by noelwelsh | 116 comments
Website for the free online textbook Introduction to Modern Statistics, Second Edition, by Mine Çetinkaya-Rundel and Johanna Hardin from the OpenIntro project.
Symbolic Learning in Python and Julia(github.com)
59 points by alex_hirner | 11 comments
GitHub repository for PySR, an open-source library for symbolic regression and equation discovery in Python with a Julia backend.
Train Your Own LLM from Scratch(github.com)
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GitHub repository by angelos-p providing code and docs for training your own large language model from scratch.
Advanced Python Mastery(github.com)
650 points by a_bonobo | 130 comments
GitHub repository for David Beazley's Advanced Python Mastery course, with exercises, solutions, data files, and the course PDF.
SciPy builds for Python 3.12 on Windows are a minor miracle(labs.quansight.org)
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Quansight Labs blog post on how SciPy was built for Python 3.12 on Windows, including the move to the Flang Fortran compiler.
Writing a C compiler in 500 lines of Python(vgel.me)
454 points by vgel | 142 comments
Blog post by vgel describing the design and architecture of a small C compiler written in about 500 lines of Python.












