NumPy
Multidimensional array operations and numerical linear algebra for scientific Python.
Research, software, data and methods. Inspect the context, compare your options, and take a useful next step.
Multidimensional array operations and numerical linear algebra for scientific Python.
Flower measurements for a compact, interpretable multiclass baseline and leakage audit.
Enumerate all binomial outcomes at n=20 and p=0.05, then compare exact interval-coverage calculations with a fixed-seed simulation.
Property-based testing tools that generate and simplify test inputs.
A guide to model-evaluation splits, including grouped and time-series data, nested model selection and permutation-based assessment.
Numerical routines for integration, differential equations, optimization, transforms, and statistical analysis.
A guide to variance filters, univariate tests, recursive elimination, model-based selection and selection inside pipelines.
A probability-calibration guide covering reliability curves and sigmoid, isotonic and temperature-scaling approaches.
A guide distinguishing outlier detection from novelty detection and comparing assumptions of several anomaly-detection methods.
Pixelated metamaterial unit-cell designs and band-gap locations and widths for investigating simulation surrogate reliability.
A broad scoring reference that distinguishes classification, regression, ranking and clustering metrics and their scorer interfaces.
Oil-production process signals for studying event detection across operating scenarios.
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