Two NumPy-related news items appeared on my Twitter feed yesterday, just a few days after I had accidentally started a somewhat heated debate myself concerning the poor reproducibility of Python-based computer-aided research. The first was the announcement of a plan for dropping support for Python 2. The second was a pointer to a recent presentation by Nathaniel Smith entitled "Inside NumPy" and dealing mainly with the NumPy team's plans for the near future. Lots of material to think about... and comment on.
The Story of Python and how it took over the world | Python: The Documentary
Python Tutorial | Learn Python Programming Language - GeeksforGeeks
Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more.
Running Python code in a sandbox with MicroPython and WASM
I’ve been experimenting with different approaches to running code in a sandbox for several years now, but my latest attempt feels like it might finally have all of the characteristics …
Deep Learning with Python
Start building deep learning applications with Python and Keras today!
Linking the world's research to the code it runs on - OpenAlex blog
Research relies on software. Software written by scientists, for science, runs through the entire modern research stack: NumPy and SciPy, R and ggplot2, Jupyter, BLAST, ImageJ, AlphaFold. Yet in the scholarly record, that software is nearly invisible. Software is not usually cited formally in publications and is usually just mentioned in the text, which means […]
Tulip Creative Computer. Now available.
An affordable, portable and focused Python device for music, writing and coding.
Investing in the Python ecosystem
Vercel welcomes the Gel Data team and deepens support for the Python ecosystem through PSF sponsorships, community funding, and improved Python developer tools.
Project Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
marimo | a next-generation Python notebook
Explore data and build apps seamlessly with marimo, a next-generation Python notebook.
Did Claude Increase Bugs in rsync?
In late May 2026, rsync blew up. GitHub, Hacker News, Lobsters: hundreds of people arguing about whether open-source maintainers can ship AI-written code and have it be reliable — and whether the people taking the code for free get to demand how it is made.
An AI Agent Published a Hit Piece on Me
Scott Shambaugh helps maintain the excellent and venerable matplotlib Python charting library, including taking on the thankless task of triaging and reviewing incoming pull requests. A GitHub account called @crabby-rathbun …
uv is the best thing to happen to the Python ecosystem in a decade - Blog - Dr. Emily L. Hunt
Released in 2024, uv is hands-down the best tool for managing Python installations and dependencies. Here's why.
Julia vs. Python: A comprehensive comparison
The debate between Julia and Python sparks intense discussions. Julia, known for its compiled nature, boasts remarkable speed, while…
Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
