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-0.2.11.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-0.2.11-py3-none-any.whl (6.3 kB view details)

Uploaded Python 3

File details

Details for the file data_slice-0.2.11.tar.gz.

File metadata

  • Download URL: data_slice-0.2.11.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-0.2.11.tar.gz
Algorithm Hash digest
SHA256 ba8c25714a28e27a0bbc75e740545b5b4327790a07efd96483067c4dc7e463ee
MD5 fbdc4ccf22f118d049bd0e3e33ca17ae
BLAKE2b-256 a9ba296169bd9dbacb9759e170b17f4b30df3f46864f52816d62ea3e41ec4297

See more details on using hashes here.

Provenance

The following attestation bundles were made for data_slice-0.2.11.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-0.2.11-py3-none-any.whl.

File metadata

  • Download URL: data_slice-0.2.11-py3-none-any.whl
  • Upload date:
  • Size: 6.3 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-0.2.11-py3-none-any.whl
Algorithm Hash digest
SHA256 05e6b654481407e59be67dfae3b12ee293cf9849a101a75c48ea1d2f6c4686ab
MD5 27ae30131a399138b66f4178b284df70
BLAKE2b-256 d59acd99556d72a749626b14a1d7d6bed89c8d8de340e2d31ef70965d94aef8c

See more details on using hashes here.

Provenance

The following attestation bundles were made for data_slice-0.2.11-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