PyCXpress


NamePyCXpress JSON
Version 0.0.8 PyPI version JSON
download
home_pagehttps://github.com/chaoqing/PyCXpress
SummaryPyCXpress 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.
upload_time2024-06-26 12:33:23
maintainerNone
docs_urlNone
authorchaoqing
requires_python<4.0,>=3.8
licenseMIT
keywords cpp embdedding
VCS
bugtrack_url
requirements numpy numpy pybind11
Travis-CI No Travis.
coveralls test coverage No coveralls. 
            # 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}}
}
```

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chaoqing
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