best-of-jupyter
best-of-python
best-of-jupyter | best-of-python | |
---|---|---|
3 | 5 | |
853 | 3,459 | |
4.3% | 2.3% | |
7.9 | 7.8 | |
8 days ago | 8 days ago | |
Python | ||
Creative Commons Attribution Share Alike 4.0 | 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.
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.
best-of-python
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Which not so well known Python packages do you like to use on a regular basis and why?
You may be interested in this best-of-python list on github.
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I am a proficient Python coder whose learning has plateaued. Any really useful libraries I should look into learning? Taking recommendations.
I suggest looking at this and this github links which group many of the most used/useful python libraries by their category of use.
- ml-tooling/best-of-python A ranked list of awesome Python open-source libraries & tools. Updated weekly.
- Best of Python
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[P] best-of-ml-python: A ranked list of awesome machine learning Python libraries
best-of-python: General overview of Python libraries & tools
What are some alternatives?
ocaml-jupyter - An OCaml kernel for Jupyter (IPython) notebook
pymunk - Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python
docker-stacks - Ready-to-run Docker images containing Jupyter applications
Box - Python dictionaries with advanced dot notation access
ubelt - A Python utility library with a stdlib like feel and extra batteries. Paths, Progress, Dicts, Downloads, Caching, Hashing: ubelt makes it easy!
fastapi-featureflags - FastAPI Feature Flags
best-of-generator - 🏆 Generates a ranked list of awesome libraries and tools.
glom - ☄️ Python's nested data operator (and CLI), for all your declarative restructuring needs. Got data? Glom it! ☄️
mathquill - Easily type math in your webapp
gTTS - Python library and CLI tool to interface with Google Translate's text-to-speech API
best-of-web-python - 🏆 A ranked list of awesome python libraries for web development. Updated weekly.
chepy - Chepy is a python lib/cli equivalent of the awesome CyberChef tool.