mathematica
jupyter
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| mathematica | jupyter | |
|---|---|---|
| 1 | 13 | |
| 25 | 14,727 | |
| - | 0.5% | |
| 10.0 | 7.5 | |
| over 1 year ago | about 1 month ago | |
| Lean | Python | |
| - | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mathematica
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Mathics: A free, open-source alternative to Mathematica
The existence of https://github.com/robertylewis/mathematica makes me think it's more likely to go in the other direction, where you treat powerful tools as untrusted oracles which produce certificates that Lean then verifies.
jupyter
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Mastering Data Science: Top 10 GitHub Repos You Need to Know
6. Jupyter Jupyter is a collection of tools and applications designed for interactive computing and data visualization. At the heart of the Jupyter ecosystem is the Jupyter Notebook, an interactive web-based platform that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It’s an excellent tool for exploratory data analysis, model prototyping, and creating reproducible data science workflows.
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You can run Rust code in a Jupyter notebook
How cool. This motivated a quick search - this could be fun:
How to write your own kernel
https://jupyter-client.readthedocs.io/en/stable/kernels.html
All the language kernels (a lot of abandoned ones - the mariaDB one ('binder') will take a while to load but SQL in Jupyter!)
https://github.com/jupyter/jupyter/wiki/Jupyter-kernels
- Resource for interesting data science project notebooks
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Mathics: A free, open-source alternative to Mathematica
There are Jupyter kernels for Python, Mathics, Wolfram, R, Octave, Matlab, xeus-cling, allthekernels (the polyglot kernel). https://github.com/jupyter/jupyter/wiki/Jupyter-kernels
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How does 3[a] gives the element at index 3 in an array?
Not only there is. But it is only a simple Google search away... But to make it simpler... There are 3 😁 https://github.com/jupyter/jupyter/wiki/Jupyter-kernels
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How to use Jupyter notebooks in a conda environment?
As it seems, this is not quite straight forward and manyusers have similar troubles.
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Semi-Weekly Discussion Thread - February 21, 2022
Community maintained kernels : https://github.com/jupyter/jupyter/wiki/Jupyter-kernels
- Node.js Notebooks
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Python Tutorials using Jupyter Notebook
Derek Banas on YouTube is doing a "Python for Finance" course at ghe moment using Jupyter, and is making the files available. I believe he's done others too.Failing that, there's this Git repo: A gallery of interesting jupyter notebooks
- Github Discussion: What is your favorite Data Science Repo?
What are some alternatives?
mathquill - Easily type math in your webapp
nteract - 📘 The interactive computing suite for you! ✨
microMathematics - microMathematics Plus - Extended visual calculator
cookiecutter-data-science - A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
WolframLanguageForJupyter - Wolfram Language kernel for Jupyter notebooks
pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
minecraft-pi-reborn - Official Mirror Of @TheBrokenRail's Minecraft: Pi Edition: Reborn.
vscode-python - Python extension for Visual Studio Code
best-of-jupyter - 🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.
quokka - Repository for Quokka.js questions and issues
mathlib - Lean 3's obsolete mathematical components library: please use mathlib4
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.