Metadata-Version: 2.1
Name: pyarrow
Version: 17.0.0.dev81
Summary: Python library for Apache Arrow
Home-page: https://arrow.apache.org/
Maintainer: Apache Arrow Developers
Maintainer-email: dev@arrow.apache.org
License: Apache License, Version 2.0
Project-URL: Documentation, https://arrow.apache.org/docs/python
Project-URL: Source, https://github.com/apache/arrow
Classifier: License :: OSI Approved :: Apache Software License
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
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: ../LICENSE.txt
License-File: ../NOTICE.txt
Requires-Dist: numpy >=1.16.6

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## Python library for Apache Arrow

[![pypi](https://img.shields.io/pypi/v/pyarrow.svg)](https://pypi.org/project/pyarrow/) [![conda-forge](https://img.shields.io/conda/vn/conda-forge/pyarrow.svg)](https://anaconda.org/conda-forge/pyarrow)

This library provides a Python API for functionality provided by the Arrow C++
libraries, along with tools for Arrow integration and interoperability with
pandas, NumPy, and other software in the Python ecosystem.

## Installing

Across platforms, you can install a recent version of pyarrow with the conda
package manager:

```shell
conda install pyarrow -c conda-forge
```

On Linux, macOS, and Windows, you can also install binary wheels from PyPI with
pip:

```shell
pip install pyarrow
```

If you encounter any issues importing the pip wheels on Windows, you may need
to install the [Visual C++ Redistributable for Visual Studio 2015][6].

## Development

See [Python Development][2] in the documentation subproject.

### Building the documentation

See [documentation build instructions][1] in the documentation subproject.

[1]: https://github.com/apache/arrow/blob/main/docs/source/developers/documentation.rst
[2]: https://github.com/apache/arrow/blob/main/docs/source/developers/python.rst
[3]: https://github.com/pandas-dev/pandas
[5]: https://arrow.apache.org/docs/latest/python/benchmarks.html
[6]: https://www.microsoft.com/en-us/download/details.aspx?id=48145