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Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
This library supports calculation of uniform boundaries, confidence sequences, and always-valid p-values. These constructs are useful in sequential A/B testing, best-arm identification, and other ...
A Numba-accelerated Python library for simulating two-dimensional Lagrangian particle transport in idealized semi-enclosed ocean basins using Bell's incompressible flow field. This is an idealized 2D ...
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