Experimental (experimental)

This module contains functions related to experimental. Placeholder for experimental features for developers…

Cython Bindings

The Cython language is a superset of the Python language that additionally supports calling C functions and declaring C types on variables and class attributes.

See also

• https://cython.org/

Pybind11 Bindings

pybind11 is a lightweight header-only library that exposes C++ types in Python and vice versa, mainly to create Python bindings of existing C++ code.

See also

• pybind/pybind11

C/CPP Headers Source

NumPy C-API Headers

NumPy provides a C-API to enable users to extend the system and get access to the array object for use in other routines. The best way to truly understand …

See also

• https://numpy.org/devdocs/user/c-info.html

• https://numpy.org/devdocs/reference/c-api/index.html

>>> import numpy as np
>>> # Return the directory that contains the NumPy *.h header files.
>>> np.get_include()

'/opt/conda/lib/python3.11/site-packages/numpy/core/include'

LightNumPy C/Cpp-API Headers

A lightweight version of NumPy (or similar functionality).

See also

• scikit-plots/lightnumpy

• dpilger26/NumCpp

>>> try:
>>>   # pip install git+https://github.com/scikit-plots/lightnumpy.git@main
>>>   import lightnumpy as lp
>>>   # Return the directory that contains the NumCpp *.h header files.
>>>   inc_dir_lightnumpy = lp.get_include()
>>> except: pass
>>> else:
>>>   !ls $inc_dir_lightnumpy

lightnumpy  NumCpp

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