ocaml-jupyter
best-of-jupyter
| ocaml-jupyter | best-of-jupyter | |
|---|---|---|
| 3 | 3 | |
| 282 | 842 | |
| - | 2.4% | |
| 4.7 | 7.9 | |
| 3 months ago | 1 day ago | |
| OCaml | ||
| MIT License | Creative Commons Attribution Share Alike 4.0 |
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.
ocaml-jupyter
- OCaml 5.0 Multicore is out
- Come aggiungere kernel ocaml a Jupyter Notebook?
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Choices for online Ocaml?
Here's an ocaml kernel for jupyter notebooks: https://github.com/akabe/ocaml-jupyter. You could feasibly get this up and running on some jupyter platform online!
best-of-jupyter
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Spreadsheet errors can have disastrous consequences – yet we keep making them
What are some Software Development methods for reducing errors:
1. AUTOMATED TESTS; test assertions
To write spreadsheet tests:
A. Write your own test assertion library for their macro language; write assertEqual() in VBscript and Apps Script.
B. Use another language with a test library and a test runner; e.g. Python and the `assert` keyword, unittest.TestCase().assertEqual() or pytest.
C. Test the spreadsheet GUI with something like AutoHotKey.
From https://news.ycombinator.com/item?id=35896192 :
> The Scientific Method is testing, so testing (tests, assertions, fixtures) should be core to any scientific workflow system.
> awesome-jupyter#testing: https://github.com/markusschanta/awesome-jupyter#testing
> ml-tooling/best-of-jupyter lists papermill/papermill under "Interactive Widgets/Visualization" https://github.com/ml-tooling/best-of-jupyter#interactive-wi...
- Mathics: A free, open-source alternative to Mathematica
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[P] best-of-ml-python: A ranked list of awesome machine learning Python libraries
best-of-jupyter: Jupyter Notebook, Hub, and Lab projects.
What are some alternatives?
gotty - Share your terminal as a web application
docker-stacks - Ready-to-run Docker images containing Jupyter applications
learn-ocaml - A Web Application for Learning OCaml
ubelt - A Python utility library with a stdlib like feel and extra batteries. Paths, Progress, Dicts, Downloads, Caching, Hashing: ubelt makes it easy!
template-nix - The nix template, configured for Gitpod (www.gitpod.io) to give you pre-built, nix based ephemeral development environments in the cloud.
best-of-generator - 🏆 Generates a ranked list of awesome libraries and tools.
Functional-Programming-Techniques-In-Python - Exploring functional centric designs and patterns in Python
mathquill - Easily type math in your webapp
cloudmacs - Selfhost your Emacs and access it in browser
best-of-web-python - 🏆 A ranked list of awesome python libraries for web development. Updated weekly.
coda - Mina is a new cryptocurrency with a constant size blockchain, improving scaling while maintaining decentralization and security. [Moved to: https://github.com/MinaProtocol/mina]
awesome-notebooks - A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.