Metadata-Version: 2.1
Name: PyCXpress
Version: 0.0.2
Summary: PyCXpress is a high-performance hybrid framework that seamlessly integrates Python and C++ to harness the flexibility of Python and the speed of C++ for efficient and expressive computation, particularly in the realm of deep learning and numerical computing.
Home-page: https://github.com/chaoqing/PyCXpress
License: MIT
Author: chaoqing
Author-email: chaoqingwang.nick@gmail.com
Requires-Python: >=3.8,<4.0
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Dist: numpy (>=1.22,<2.0)
Requires-Dist: pybind11 (>=2.12.0,<3.0.0)
Project-URL: Repository, https://github.com/chaoqing/PyCXpress
Description-Content-Type: text/markdown

# PyCXpress

<div align="center">

[![Build status](https://github.com/chaoqing/PyCXpress/workflows/build/badge.svg?branch=master&event=push)](https://github.com/chaoqing/PyCXpress/actions?query=workflow%3Abuild)
[![Python Version](https://img.shields.io/pypi/pyversions/PyCXpress.svg)](https://pypi.org/project/PyCXpress/)
[![Dependencies Status](https://img.shields.io/badge/dependencies-up%20to%20date-brightgreen.svg)](https://github.com/chaoqing/PyCXpress/pulls?utf8=%E2%9C%93&q=is%3Apr%20author%3Aapp%2Fdependabot)

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Security: bandit](https://img.shields.io/badge/security-bandit-green.svg)](https://github.com/PyCQA/bandit)
[![Pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/chaoqing/PyCXpress/blob/master/.pre-commit-config.yaml)
[![Semantic Versions](https://img.shields.io/badge/%20%20%F0%9F%93%A6%F0%9F%9A%80-semantic--versions-e10079.svg)](https://github.com/chaoqing/PyCXpress/releases)
[![License](https://img.shields.io/github/license/chaoqing/PyCXpress)](https://github.com/chaoqing/PyCXpress/blob/master/LICENSE)
![Coverage Report](assets/images/coverage.svg)

PyCXpress is a high-performance hybrid framework that seamlessly integrates Python and C++ to harness the flexibility of Python and the speed of C++ for efficient and expressive computation, particularly in the realm of deep learning and numerical computing.

</div>

## 🛡 License

[![License](https://img.shields.io/github/license/chaoqing/PyCXpress)](https://github.com/chaoqing/PyCXpress/blob/master/LICENSE)

This project is licensed under the terms of the `MIT` license. See [LICENSE](https://github.com/chaoqing/PyCXpress/blob/master/LICENSE) for more details.

## 📃 Citation

```bibtex
@misc{PyCXpress,
  author = {chaoqing},
  title = {PyCXpress is a high-performance hybrid framework that seamlessly integrates Python and C++ to harness the flexibility of Python and the speed of C++ for efficient and expressive computation, particularly in the realm of deep learning and numerical computing.},
  year = {2024},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/chaoqing/PyCXpress}}
}
```
