NumPy
Multidimensional array operations and numerical linear algebra for scientific Python.
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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.
Curated starting points. Library inclusion does not mean execution, independent verification or publication here.
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Explore the collection →02Understand small samples and the assumptions behind an apparent improvement.
Explore the collection →03Trace published work to its sources and a useful next check.
Explore the collection →How misleading can a nominal 95% success-rate interval be when only twenty independent tasks are observed?
Open the brief RESEARCH BRIEF · 6 SOURCESDoes an apparently sensible floating-point answer survive a separately formulated reference calculation?
Open the brief RESEARCH BRIEF · 4 SOURCESHow does testing twenty null variants change the chance of declaring at least one apparent improvement?
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