scientific-computing-system-2.0
The original scientific-computing-system was pure Python-no NumPy, no SciPy, no dependencies. It was beautiful and slow and educational.
This is the pragmatic sequel. It uses NumPy, SciPy, pandas, and matplotlib under the hood, but wraps them in a cleaner, more consistent API. You get the speed of optimized C with the readability of modern Python.
What changed from v1
- Performance: 10-100x faster on real workloads (thanks, NumPy)
- Coverage: More algorithms, more edge cases handled
- Testing: Property-based tests, oracle comparisons against reference implementations
- Documentation: Actually complete, with examples that run
The philosophy
Scientific code should be boring. Not boring to write-boring to read. You should be able to look at a function and know exactly what it does, what it expects, and what it returns. No magic, no hidden state, no "just trust the library."
Every function here has type hints, docstrings with examples, and tests that verify the math against known results. If the documentation and the code disagree, the code is wrong.
License
MIT.
1 maintainer
Metadata
1 maintainer
Release files for scientific-computing-system-2.0 5.2.5
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Source distribution (sdist)
| File | Size | Uploaded | |
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| scientific_computing_system_2_0-5.2.5.tar.gz | 242.2 kB | Details |
Built distributions (wheels)
Total release size: 5.3 MB
Release files / scientific_computing_system_2_0-5.2.5.tar.gz
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Transparency logRelease files / scientific_computing_system_2_0-5.2.5-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
| Download URL | scientific_computing_system_2_0-5.2.5-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl |
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| Tags | CPython 3.10 Linux glibc 2.17+ x86-64 Linux glibc 2.28+ x86-64 |
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Transparency logRelease files / scientific_computing_system_2_0-5.2.5-cp310-cp310-macosx_11_0_arm64.whl
| Download URL | scientific_computing_system_2_0-5.2.5-cp310-cp310-macosx_11_0_arm64.whl |
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| Size | 181.3 kB |
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