JupyterLab-CodeAnalysisDemo
best-of-jupyter
| JupyterLab-CodeAnalysisDemo | best-of-jupyter | |
|---|---|---|
| - | 3 | |
| 25 | 836 | |
| - | 2.4% | |
| 0.0 | 7.9 | |
| over 3 years ago | 8 days ago | |
| TypeScript | ||
| MIT License | Creative Commons Attribution Share Alike 4.0 |
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JupyterLab-CodeAnalysisDemo
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Tracking mentions began in Dec 2020.
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
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