Skip to main content

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.

Release files for data-slice 1.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for data-slice 1.0.0
File Size Uploaded
data_slice-1.0.0.tar.gz 9.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for data-slice 1.0.0
File Interpreter ABI Platform
data_slice-1.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 16.8 kB

Release files / data_slice-1.0.0.tar.gz

Download URL data_slice-1.0.0.tar.gz
Size 9.7 kB
Tags Source
SHA-256 checksum
How to use checksums
7934764b4382521238a80dd325c60d46c5e05f7ec06bcd00e22305989fe276d0
BLAKE2b-256 checksum
How to use checksums
06cd253f6079227e1a455199f11f9565fb87a5b7c4027dd3554693a8f8f18ecf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jun 13, 2025.

Transparency log

Release files / data_slice-1.0.0-py3-none-any.whl

Download URL data_slice-1.0.0-py3-none-any.whl
Size 7.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
52abd35864de9f59767b8140e45cf78e0ef07b29c22e3b4e3f23cb38b0f8dd0e
BLAKE2b-256 checksum
How to use checksums
2ef93651c265dd710b05cc006fe52331fe249710d36ab15f4f8e3b29646b4ace
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jun 13, 2025.

Transparency log

Release history Release notifications | RSS feed

This release

1.0.0 This release

2 release files

0.6.1

2 release files

0.6.0

2 release files

0.5.0

2 release files

0.4.1

2 release files

0.4.0

2 release files

0.3.0

2 release files

0.2.14

2 release files

0.2.13

2 release files

0.2.12

2 release files

0.2.11

2 release files

0.2.10

2 release files

0.2.9

2 release files

0.2.8

2 release files

0.2.7

2 release files

0.2.6

2 release files

0.2.5

2 release files

0.2.4

2 release files

0.2.3

2 release files

0.2.2

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page