data-slice 1.0.0
DataSlicer is a powerful and lightweight Python tool designed to efficiently split large CSV and Excel (XLSX) files into smaller, more manageable chunks.
License: MIT
Requires Python: >=3.10

# DataSlicer

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---

**Documentation**: <a href="https://dataslicer.readthedocs.io" target="_blank">https://dataslicer.readthedocs.io </a>

**Source Code**: <a href="https://github.com/markm-io/dataslicer" target="_blank">https://github.com/markm-io/dataslicer </a>

---

DataSlicer is a powerful and lightweight Python tool designed to efficiently split large CSV and Excel (XLSX) files into smaller, more manageable chunks.

## Installation

Install this via pip (or your favourite package manager):

`pip install data-slice`

## Contributors ✨

Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):

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    <tr>
      <td align="center" valign="top" width="14.28%"><a href="https://github.com/markm-io"><img src="https://avatars.githubusercontent.com/u/45011486?v=4?s=80" width="80px;" alt="Mark Moreno"/><br /><sub><b>Mark Moreno</b></sub></a><br /><a href="https://github.com/markm-io/dataslicer/commits?author=markm-io" title="Code">💻</a> <a href="#ideas-markm-io" title="Ideas, Planning, & Feedback">🤔</a> <a href="https://github.com/markm-io/dataslicer/commits?author=markm-io" title="Documentation">📖</a></td>
    </tr>
  </tbody>
</table>

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This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!

## Credits

[![Copier](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/copier-org/copier/master/img/badge/badge-grayscale-inverted-border-orange.json)](https://github.com/copier-org/copier)

This package was created with
[Copier](https://copier.readthedocs.io/) and the
[browniebroke/pypackage-template](https://github.com/browniebroke/pypackage-template)
project template.