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Web infrastructure engineer and standards editor; chaired the IETF HTTP working group and co-authored core HTTP and Atom specifications.

• httplint — Python library to lint HTTP messages

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AI research engineer working on large language models. He writes the Ahead of AI newsletter and is the author of Build a Large Language Model (From Scratch).

• mlxtend — A library of extension and helper modules for Python's data analysis and machine learning libraries.

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Computer science professor who works on fast data processing; co-author of the simdjson parser and a weekly blogger about software performance since 2004.

• fastconstmap — Fast, immutable, compact map from strings to 64-bit integers — for Python.

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Programmer, photographer and musician, best known for the Python Requests HTTP library and other Python tooling.

• Experimenting with making a little portable Requests–inspired Python module, called https://t.co/gzrf4pmNOY. Just for fun.

  github.com

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Creator of the Keras deep-learning library and the ARC-AGI benchmark.

• > One could even define intelligence as the efficiency with which one converts experience into competence; by this definition they lag very far behind us Yes, one could define intelligence in this way, and one would be right. By this metric current AI is approximately 6 OOMs less intelligent than humans. Your ancestors' evolutionary history did not prepare you for Python programming, yet you can learn to competently program in Python in a few hundreds of hours. An LRM needs the training data equivalent of ~1B hours (on top of all of its non-programming related training data). Another dimensio…
  Quoting@DKokotajloDan Selsam is a current OpenAI capabilities researcher. (since 2022) He was my boss for a while. He doesn't have a twitter account but has made this public statement of his views on AI risk and sent it to me to share: Dan Selsam's Personal Statement on AI Risk: I have been working on AI for over fi…

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Web infrastructure engineer and standards editor; chaired the IETF HTTP working group and co-authored core HTTP and Atom specifications.

• pyproject-tmpl — Template for Python projects

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CEO of Vercel; creator of Next.js and Socket.IO. Writes at rauchg.com.

• I’m seeing teams at Vercel iterate just as fast on Zig, Go, Rust projects as TypeScript & Python ones. The days of language or runtime choice based on human convenience are over. Agents are the new compilers. They compile intent into fast software.

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Machine learning engineer and consultant focused on RAG and retrieval systems. He writes about applied AI engineering at jxnl.co and is the author of the instructor library.

• mf be like "it came to me in a dream" and its actually just 10 000 agent swarms writing markdown files on a sandbox and some python code

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Programmer, photographer and musician, best known for the Python Requests HTTP library and other Python tooling.

• Making a Python interpreter in 1024 bytes

  austinhenley.com

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Creator of Flask and Jinja. Writes about software at lucumr.pocoo.org.

• Astra for Coding: Why Are We Doing This Again?

  Python string splicing to edit C code

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Computer science professor who works on fast data processing; co-author of the simdjson parser and a weekly blogger about software performance since 2004.

• Python sets and dictionaries can have quadratic-time performance

  In Python, the dict data structure is the conventional key-value structure. E.g., you might store a list of names as keys and have their phone numbers as values. Valentin Ignatev wrote this amusing post on X: It is inde…

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Software engineer and engineering leader at Canonical, working on Ubuntu; writes about his homelab, Nix and tooling at jnsgr.uk.

• pytouchlinesl — A Python API client for Roth's TouchlineSL API

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AI research engineer working on large language models. He writes the Ahead of AI newsletter and is the author of Build a Large Language Model (From Scratch).

• A little video that - explains the relationship between conventional LLMs and reasoning models (and agents), - philosophizes a about "from scratch" approaches, - and explains how to install Python & PyTorch requirements with uv.

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Programmer, photographer and musician, best known for the Python Requests HTTP library and other Python tooling.

• noodler — A modular music environment where theory itself is patchable. Eurorack-inspired, built in Python around PyTheory.

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Web infrastructure engineer and standards editor; chaired the IETF HTTP working group and co-authored core HTTP and Atom specifications.

• http-sf — HTTP Structured Fields for Python

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Writer and developer; runs Waxy.org, co-organises the XOXO festival, and was the first CTO of Kickstarter.

• Monty Python and the Holy Grail, in alphabetical order: the latest submission to Supercut.org, inspired by Of Oz The Wizard

  vimeo.com

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Programmer, photographer and musician, best known for the Python Requests HTTP library and other Python tooling.

• responder — A familiar HTTP Service Framework for Python.

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Cryptography engineer; maintains Go's cryptography libraries as a full-time open-source maintainer, funded directly by companies that use them.

• Production ML-DSA Verification in 350 Lines of Python

  I am publishing a production, pure-Python ML-DSA verifier. It's just 350 lines, and pretty readable and robust.

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AI research engineer working on large language models. He writes the Ahead of AI newsletter and is the author of Build a Large Language Model (From Scratch).

• python-machine-learning-book — The "Python Machine Learning (1st edition)" book code repository and info resource

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Freelance web developer and instructor. Author of the Dive Into Docker course; writes tutorials on Docker, deployment and development environments at nickjanetakis.com.

• It's sad to see trillion dollar AI companies end the careers of course creators. David has been making Python courses for 20 years and he just called it quits. https://t.co/09rHvd17i6 I've been doing it for 10 years and I'm at an impasse. Traffic is dead, I operate at a loss.

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Programmer, photographer and musician, best known for the Python Requests HTTP library and other Python tooling.

• interpretations — A new album, written in Python.

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Writes jvns.ca, turning "hard and scary" topics — networking, debugging, Linux internals — into plain explanations and hand-drawn comics. Publishes Wizard Zines, illustrated programming zines. Software developer based in Montreal.

• the next version of Python is going to have a built in sampling profiler!!!! this is so exciting to see

  docs.python.org

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• exciting to read about this work on rv, uv has made Python so much easier for me
  Quoting@indirect.ioI wrote a history of rv until now, what we've released, and what our plans are andre.arko.net/2026/06/13/rv-…

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Technical educator, conference speaker and developer relations engineer based in Ottawa, Canada. Author of the Anubis bot filter and of over 400 articles at xeiaso.net.

• random-python-app — Ignore, this is a test of a skill

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Freelance web developer and instructor. Author of the Dive Into Docker course; writes tutorials on Docker, deployment and development environments at nickjanetakis.com.

• webserver — A zero dependency Python 3 web server to echo back an HTTP request's headers and data.

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Writer and consultant on formal methods and software correctness; author of Practical TLA+ and Logic for Programmers.

• People get confused when language implementations break language guarantees

  Take the following Python program: # x = 1, y = 2 x = 0 y = x print([x, y]) It'll print [0, 0]. If we swapped the two assignments, it'd instead print [0, 1]. Each assignment happens in a separate temporal step. Pretty m…

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AI research engineer working on large language models. He writes the Ahead of AI newsletter and is the author of Build a Large Language Model (From Scratch).

• mini-coding-agent — Minimal and readable coding agent harness implementation in Python to explain the core components of coding agents.

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Founding member of OpenAI and former director of AI at Tesla; creator of nanoGPT and the term "vibe coding".

• microgpt

  This is a brief guide to my new art project microgpt, a single file of 200 lines of pure Python with no dependencies that trains and inferences a GPT. This file contains the full algorithmic content of what is needed: d…

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American software engineer; worked on code-server at Coder and teaches TypeScript and open-source contribution. Publishes at joeprevite.com.

• monthly-venmo — A Python script to automate monthly Venmo requests

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Creator of the Keras deep-learning library and the ARC-AGI benchmark.

• deep-learning-with-python-notebooks — Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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Software engineer who writes the blog Made of Bugs about performance, debugging and understanding computer systems. Previously worked at Anthropic on interpretability, at Stripe on Sorbet, and at Ksplice.

• The ITTAGE indirect branch predictor

  While investigating the performance of the new Python 3.14 tail-calling interpreter, I learned (via this very informative comment from Sam Gross) new (to me) piece of performance trivia: Modern CPUs mostly no longer str…

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Software engineer who writes the blog Made of Bugs about performance, debugging and understanding computer systems. Previously worked at Anthropic on interpretability, at Stripe on Sorbet, and at Ksplice.

• Performance of the Python 3.14 tail-call interpreter

  About a month ago, the CPython project merged a new implementation strategy for their bytecode interpreter. The initial headline results were very impressive, showing a 10-15% performance improvement on average across a…

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Machine learning engineer working on recommender systems, personalization and information retrieval. Previously worked on LLMs and LLM infrastructure at Mozilla.ai and on ML and recsys at Duo, Tumblr, Automattic and Comcast; wrote the 'What are embeddings?' text and ran the Normconf conference.

• How FastAPI path operations work

  If you’re building a new Python web app these days, there’s a good chance you’re using FastAPI. There are a lot of features that make FastAPI easy to get started with. There are also a lot of nuances t…

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Game developer, formerly at Looking Glass Studios, and author of the stb single-file public-domain C libraries used across the games industry.

• wikiplot — python scripts for extracting plot summaries from wikipedia

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Machine learning engineer working on recommender systems, personalization and information retrieval. Previously worked on LLMs and LLM infrastructure at Mozilla.ai and on ML and recsys at Duo, Tumblr, Automattic and Comcast; wrote the 'What are embeddings?' text and ran the Normconf conference.

• blusky — Playing with Python Bluesky SDK

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Machine-learning researcher on open language models; writes the Interconnects newsletter and the RLHF Book, after leading post-training at Ai2.

• blogcaster — Python tools for easily translating your blog content to podcasts & YouTube

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Writer and consultant on formal methods and software correctness; author of Practical TLA+ and Logic for Programmers.

• Toolbox languages

  A toolbox language is a programming language that’s good at solving problems without requiring third party packages. My default toolbox languages are Python and shell scripts, which you probably already know about…

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Machine-learning researcher at Cursor working on post-training for coding models; a professor at Harvard and then Cornell from 2016 to 2026, and a researcher at Hugging Face from 2019 to 2024.

• PowerEdit — A super-minimal Python-based video editor ⚡

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Member of technical staff at Anthropic. He has led ML/AI teams at Amazon, Alibaba and Lazada, and writes about LLMs, recommender systems and engineering at eugeneyan.com.

• python-collab-template — 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.

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Creator of the Keras deep-learning library and the ARC-AGI benchmark.

• keras-resources — Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

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Interpretability researcher at Anthropic, which he co-founded; before that at OpenAI and Google Brain, where he wrote the explanations of neural networks most people learned them from.

• surfcad — Surface-Oriented CAD Library for Python

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Brazilian-American staff software engineer working on platforms, AI and developer productivity. Writes about engineering and his setup at ivansantos.me.

• I am starting a new journey where I play with LLMs while refusing to touch Python. Wish me luck, let’s see how far I can get lol

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Programmer; co-founded GitHub and was its CEO, and created the Mustache templating language and Resque.

• pystache — Mustache in Python

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Founding member of OpenAI and former director of AI at Tesla; creator of nanoGPT and the term "vibe coding".

• A from-scratch tour of Bitcoin in Python

  I find blockchain fascinating because it extends open source software development to open source + state. This seems to be a genuine/exciting innovation in computing paradigms; We don’t just get to share code, we get to…

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Creator of the Keras deep-learning library and the ARC-AGI benchmark.

• nelder-mead — Pure Python/Numpy implementation of the Nelder-Mead algorithm.

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Engineer and writer on machine-learning systems; author of Designing Machine Learning Systems and AI Engineering. "I work to bring AI into production. I write about AI system design."

• python-is-cool — Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

  Commitsdecorators, timeit, and cache

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Data scientist and machine-learning researcher; chief scientist at bitly, founder of Fast Forward Labs and Hidden Door.

• introbot — A python script to generate the text of intro e-mails.

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Data scientist and machine-learning researcher; chief scientist at bitly, founder of Fast Forward Labs and Hidden Door.

• randomness_beacon — A python module for using the NIST randomness beacon, generating 512-bits of randomness every 60 seconds

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Writes The Pragmatic Engineer, the software-engineering newsletter, and wrote The Software Engineer's Guidebook. Formerly an engineering manager at Uber, and at Microsoft/Skype and Skyscanner before that.

• PythonGettingStarted — Getting started with Python

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Machine-learning researcher; has written the Lil'Log survey posts on how a model technique works since 2017, and worked at OpenAI from 2018 to 2024, latterly leading its safety systems team.

• LeetcodePython — Leetcode Practice in Python

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