Python with the scientific stack, compiled to WebAssembly.
SciPy 1.0: fundamental algorithms for scientific computing in Python
SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
PyodideU: Unlocking Python Entirely in a Browser for CS1
As part of the Digital Library's transition to Open Access, new features for researchers are available in the Premium Edition. Click here to learn more.
Pydata Paris Virtual Meetup June 2021
Cookiecutter Data Science
A project template and directory structure for Python data science projects.
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.
atpasser.poxiao-labs.work/atpasser
The new codebase of ATPasser. Repository is a mirror of https://forge.poxiao-labs.work/atpasser/atpasser
marimo | a next-generation Python notebook
Explore data and build apps seamlessly with marimo, a next-generation Python notebook.
alan-turing-institute/ReadabiliPy
A simple HTML content extractor in Python. Can be run as a wrapper for Mozilla's Readability.js package or in pure-python mode.
webR: The statistical language R compiled to WebAssembly via Emscripten
The statistical language R compiled to WebAssembly via Emscripten, for use in web browsers and Node.
We have a new project! Didactic is a typed data library for python built on top of panproto. It provides class-based authoring like pydantic. But under the hood each Model is a panproto Theory, which gives you access to panproto's migration and codegen capabilities. Docs at panproto.dev/didactic/.
GitHub - panproto/didactic: A typed data library for Python on top of panproto.
github.com