Welcome to DataSlicer documentation!

Installation & Usage

• Installation
• Usage

Project Info

• Changelog
  • v1.0.0 (2025-06-13)
  • v0.6.1 (2025-03-24)
  • v0.6.0 (2025-03-21)
  • v0.5.0 (2025-03-21)
  • v0.4.1 (2025-03-21)
  • v0.4.0 (2025-03-21)
  • v0.3.0 (2025-03-19)
  • v0.2.14 (2025-03-19)
  • v0.2.13 (2025-03-19)
  • v0.2.12 (2025-03-19)
  • v0.2.11 (2025-03-19)
  • v0.2.10 (2025-03-19)
  • v0.2.9 (2025-03-19)
  • v0.2.8 (2025-03-19)
  • v0.2.7 (2025-03-19)
  • v0.2.6 (2025-03-19)
  • v0.2.5 (2025-03-19)
  • v0.2.4 (2025-03-19)
  • v0.2.3 (2025-03-19)
  • v0.2.2 (2025-03-19)
  • v0.2.1 (2025-03-19)
  • v0.2.0 (2025-03-19)
  • v0.1.3 (2025-03-19)
  • v0.1.2 (2025-03-19)
  • v0.1.1 (2025-03-19)
  • v0.1.0 (2025-03-19)
  • v0.0.0 (2025-03-19)
• Contributing
  • Types of Contributions
  • Get Started!
  • Pull Request Guidelines
  • Tips
  • Making a new release

API Reference

• dataslicer package
  • Submodules
  • dataslicer.main module

DataSlicer

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Documentation: https://dataslicer.readthedocs.io

Source Code: https://github.com/markm-io/dataslicer

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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):

Mark Moreno 💻 🤔 📖

This project follows the all-contributors specification. Contributions of any kind welcome!

Credits

This package was created with Copier and the browniebroke/pypackage-template project template.