An example of using numpy with pybind11

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  • License: MIT License (MIT)
  • Author: Liam Keegan
  • Maintainer: Liam Keegan
  • Tags pybind11, cibuildwheel, c++, pypi, numpy, simple, example, wheel, pypi, conda-forge
  • Requires: Python >=3.8
  • Provides-Extra: test, docs
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Project description

pybind11-numpy-example

License: MIT PyPI Release Conda Release Python Versions GitHub Workflow Status Documentation Status

What

A simple example of how to use pybind11 with numpy and publish this as a library on PyPI and conda-forge.

This C++/Python library creates a std::vector of 16-bit ints, and provides a Python interface to the contents of this vector in a few different ways:

  • a Python List (copy the data)
  • a NumPy ndarray (copy the data).
  • a NumPy ndarray (move the data).

Why

Python Lists are great! However, when storing many small elements of the same type, a Numpy array is much faster and uses a lot less memory:

Memory used vs number of elements

Time used vs number of elements

How

The pybind11 code is in src/pybind11_numpy_example_python.cpp.

The python package is defined in pyproject.toml and uses scikit-build-core.

Each tagged commit triggers a GitHub action job which uses cibuildwheel to build and upload a new release including binary wheels for all platforms to PyPI.

The conda-forge package is generated from this recipe, and automatically updates when a new version is uploaded to PyPI.

The scripts used to generate the above plots are in scripts.

This repo was quickly set up using the SSC C++ Project Cookiecutter.

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  • License: MIT License (MIT)
  • Author: Liam Keegan
  • Maintainer: Liam Keegan
  • Tags pybind11, cibuildwheel, c++, pypi, numpy, simple, example, wheel, pypi, conda-forge
  • Requires: Python >=3.8
  • Provides-Extra: test, docs
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