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-0.2.6.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-0.2.6-py3-none-any.whl (6.2 kB view details)

Uploaded Python 3

File details

Details for the file data_slice-0.2.6.tar.gz.

File metadata

  • Download URL: data_slice-0.2.6.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-0.2.6.tar.gz
Algorithm Hash digest
SHA256 0bb4438eee0e6bab4006d36922c22fdb1f201c04610ae6678501450d521c2a08
MD5 537a65d909e197752b111e0817e57a82
BLAKE2b-256 a1ae1eb67578a74296d578dca782cd236d17cea4d1f38293d62eac0dee3dafb3

See more details on using hashes here.

Provenance

The following attestation bundles were made for data_slice-0.2.6.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-0.2.6-py3-none-any.whl.

File metadata

  • Download URL: data_slice-0.2.6-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-0.2.6-py3-none-any.whl
Algorithm Hash digest
SHA256 a1e462866e747db35e0e1ded01eb7db61737a746a4becdb55e4be9d8554b0fde
MD5 0825a9ef60c4830cf5a2465234e197b0
BLAKE2b-256 d262c4ce6e6c0f5ac2309ce260a6ec252816b16dd6e7f8a292917406ee3f142c

See more details on using hashes here.

Provenance

The following attestation bundles were made for data_slice-0.2.6-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