Skip to main content

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

Project description

DataSlicer

CI Status Documentation Status Test coverage percentage

uv Ruff pre-commit

PyPI Version Supported Python versions License


Documentation: https://dataslicer.readthedocs.io

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


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
Mark Moreno

💻 🤔 📖

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

Credits

Copier

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

data_slice-0.2.8.tar.gz (8.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

data_slice-0.2.8-py3-none-any.whl (6.2 kB view details)

Uploaded Python 3

File details

Details for the file data_slice-0.2.8.tar.gz.

File metadata

  • Download URL: data_slice-0.2.8.tar.gz
  • Upload date:
  • Size: 8.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for data_slice-0.2.8.tar.gz
Algorithm Hash digest
SHA256 a05adde73f597fb9c8824f0daa3bf9acddabe5174ae16ae2c5b43b776cd5d449
MD5 1f7c2d690dce41b68d29aad92920c13f
BLAKE2b-256 977f86fe9f54236acf85034fa0ded4e8b088ae4daf87ba8afb98940bde5f6e3d

See more details on using hashes here.

Provenance

The following attestation bundles were made for data_slice-0.2.8.tar.gz:

Publisher: ci.yml on markm-io/dataslicer

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file data_slice-0.2.8-py3-none-any.whl.

File metadata

  • Download URL: data_slice-0.2.8-py3-none-any.whl
  • Upload date:
  • Size: 6.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for data_slice-0.2.8-py3-none-any.whl
Algorithm Hash digest
SHA256 0470d86c8cb20940404b37a61d850a9cb691863c9a7e954aca165168b804619e
MD5 68477b57b22bf290f950f9abca1b07a8
BLAKE2b-256 66033ab6d1911e1be0a4abdcf816fe7691c05d75b6a166b8505231d81615f2d4

See more details on using hashes here.

Provenance

The following attestation bundles were made for data_slice-0.2.8-py3-none-any.whl:

Publisher: ci.yml on markm-io/dataslicer

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page