Package-level reference for scipy — install, versioning, submodules, license caveats, and gotchas. Optimization, statistics, signal processing, and linear algebra.
Build production evaluation pipelines for LLM applications — golden datasets, LLM-as-judge, rubrics, statistical significance, regression detection, and evals vs tests.
Statistical distributions, optimization, integration, signal processing, and linear algebra with SciPy. Builds on NumPy arrays.
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