best-of-web-python
best-of-jupyter
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best-of-web-python | best-of-jupyter | |
---|---|---|
3 | 3 | |
2,167 | 836 | |
1.8% | 4.8% | |
8.0 | 7.9 | |
4 days ago | 4 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-web-python
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[D] Your favourite tool for data extraction from web?
https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling
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best-of-python-web: A ranked list of awesome Python libraries for web development
ml-tooling / best-of-web-python
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[P] best-of-ml-python: A ranked list of awesome machine learning Python libraries
best-of-web-python: Python libraries for web development.
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?
fastapi-azure-auth - Easy and secure implementation of Azure Entra ID (previously AD) for your FastAPI APIs 🔒 B2C, single- and multi-tenant support.
ocaml-jupyter - An OCaml kernel for Jupyter (IPython) notebook
djangochannelsrestframework - A Rest-framework for websockets using Django channels-v4
docker-stacks - Ready-to-run Docker images containing Jupyter applications
django-renderpdf - 📄 Django app to render django templates as PDF files.
best-of-generator - 🏆 Generates a ranked list of awesome libraries and tools.
drf-flex-fields - Dynamically set fields and expand nested resources in Django REST Framework serializers.
ubelt - A Python utility library with a stdlib like feel and extra batteries. Paths, Progress, Dicts, Downloads, Caching, Hashing: ubelt makes it easy!
django-restql - Turn your API made with Django REST Framework(DRF) into a GraphQL like API.
mathquill - Easily type math in your webapp
django-rest-framework-social-oauth2 - python-social-auth and oauth2 support for django-rest-framework
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.