best-of-jupyter
awesome-jupyter
best-of-jupyter | awesome-jupyter | |
---|---|---|
3 | 5 | |
853 | 3,805 | |
4.3% | - | |
7.9 | 4.1 | |
8 days ago | 2 days ago | |
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.
awesome-jupyter
-
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...
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Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
https://github.com/markusschanta/awesome-jupyter#hosted-note...
- Ask HN: Jupyter Tutorials
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How many of us live paycheck to paycheck?
In the open source world, look at the sort of stuff you can learn for free...... https://github.com/markusschanta/awesome-jupyter
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How to create a dashboard in Python with Jupyter Notebook
> Rendering/Publishing/Conversion https://github.com/markusschanta/awesome-jupyter#renderingpu... :
> ContainDS Dashboards - JupyterHub extension to host authenticated scripts or notebooks in any framework (Voilà, Streamlit, Plotly Dash etc)
Streamlit lists Bokeh, Jupyter Voila , Panel, and Plotly Dash as Alternative dashboard approaches:
What are some alternatives?
ocaml-jupyter - An OCaml kernel for Jupyter (IPython) notebook
livebook - Automate code & data workflows with interactive Elixir notebooks
docker-stacks - Ready-to-run Docker images containing Jupyter applications
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.
ubelt - A Python utility library with a stdlib like feel and extra batteries. Paths, Progress, Dicts, Downloads, Caching, Hashing: ubelt makes it easy!
frontends-team-compass - A repository for team interaction, syncing, and handling meeting notes across the JupyterLab ecosystem.
best-of-generator - 🏆 Generates a ranked list of awesome libraries and tools.
datascience - Curated list of Python resources for data science.
mathquill - Easily type math in your webapp
mercury - Convert Jupyter Notebooks to Web Apps
best-of-web-python - 🏆 A ranked list of awesome python libraries for web development. Updated weekly.
theme-material-darcula - A Jupyterlab theme inspired by JetBrains IDE's Darcula scheme and Material Design. Now with support for all JupyterLab 2.x, 3.x, and 4.x versions!