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-0.6.1.tar.gz (9.8 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-0.6.1-py3-none-any.whl (7.1 kB view details)

Uploaded Python 3

File details

Details for the file data_slice-0.6.1.tar.gz.

File metadata

  • Download URL: data_slice-0.6.1.tar.gz
  • Upload date:
  • Size: 9.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for data_slice-0.6.1.tar.gz
Algorithm Hash digest
SHA256 619dfc686d3362eee68960f3e051e4afbe028f280f229648751784a54de4dd86
MD5 f43c7f802718a1e31f135ad27f075259
BLAKE2b-256 ca0fafc154c05ba8d3e246207a2d526a55f8c58e6e01cd0f3f8777bb05a90a41

See more details on using hashes here.

Provenance

The following attestation bundles were made for data_slice-0.6.1.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-0.6.1-py3-none-any.whl.

File metadata

  • Download URL: data_slice-0.6.1-py3-none-any.whl
  • Upload date:
  • Size: 7.1 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-0.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 1b49700bcad2e485990c1d6c02d8e891792fec675991a9736195d4e88fe22e4a
MD5 f51584cfd6f51ba20d3560498c992258
BLAKE2b-256 1c434d4dab3fcd3e759e333a5bdca328f5aecbb63ba08b8ab5c6948e8901ba71

See more details on using hashes here.

Provenance

The following attestation bundles were made for data_slice-0.6.1-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