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Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
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Scipy Alternativen & Konkurrenten
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Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.
Matplotlib — Visualization with Python.
PyData |.
Home | Pythonic Perambulations.
Scipy Lecture Notes — Scipy lecture notes.
Scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation.
Code faster with Kite’s AI-powered autocomplete plugin for over 16 programming languages and 16 IDEs, featuring Multi-Line Completions. Works 100% locally.
The Python Graph Gallery displays hundreds of charts made with Python, always with explanation and reproduciible code
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