NumPy reference — NumPy v2.3 ManualNumPy reference# Release: 2.3 Date: June 09, 2025 This reference manual details functions, modules, and objects included in NumPy, describing what they are and what they do. For learning how to use NumPy, see the complete documentation. Python API#
Routines and objects by topic — NumPy v2.3 Manual
Routines and objects by topic# In this chapter, routine docstrings are presented, grouped by functionality. Many docstrings contain example code, which demonstrates basic usage of the routine. A convenient way to execute examples is the %doctest_mode mode of IPython, which allows for pasting of multi-line examples and preserves indentation.
NumPy — NumPy
NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number capabilities Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional containe
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