An in-depth guide to mastering NumPy, covering fundamental to advanced array operations for data science and numerical computing
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Updated
Jun 1, 2026 - Jupyter Notebook
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numpy-examples
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code to generate and count nonnegative integer matrices with prescribe row and column sums (aka contingency tables)
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Updated
Mar 6, 2025 - Jupyter Notebook
From-first-principles NumPy project: ten themed notebooks, a typed and tested utility package, and NumPy-only algorithms including k-means++, PCA via SVD, ridge regression, QR and Cholesky least squares, Welford running statistics and stride tricks, with CI, property-based tests and a Docker image.
python open-source data-science machine-learning numpy linear-algebra jupyter-notebook broadcasting data-visualization scientific-computing pca data-analysis standardization vectorization kmeans-clustering numpy-tutorial numerical-computation matrix-algebra numpy-broadcasting numpy-examples
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Oct 17, 2026 - Python
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