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Additional iterator operations for grouping, windowing, combinatorial enumeration, and stream processing.

Arbitrary-precision real and complex arithmetic with special functions and numerical calculus.

Conversion of Jupyter notebooks to other document formats, with optional execution workflows.

Reading, writing, and validating Jupyter notebook document structures.

Python access to netCDF scientific datasets through the netCDF C library.

Graph construction, traversal, structural analysis, and network algorithms in Python.

Derivative-free optimization methods and benchmark interfaces.

A common interface to nonlinear optimization algorithms, with and without derivatives.

Neural-network inspection and intervention interfaces for tracing internal activations and testing counterfactual computations.

Tools for examining and comparing numerical methods for ordinary differential equations.

Just-in-time compilation of supported Python numerical functions using LLVM.

Buffer transformation and compression codecs used in scientific array storage.