DataSlicer is a powerful and lightweight Python tool designed to efficiently split large CSV and Excel (XLSX) files into smaller, more manageable chunks.
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Project description
DataSlicer
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 💻 🤔 📖 |
This project follows the all-contributors specification. Contributions of any kind welcome!
Credits
This package was created with Copier and the browniebroke/pypackage-template project template.
Project details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file data_slice-0.4.0.tar.gz.
File metadata
- Download URL: data_slice-0.4.0.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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d78d0fa22256a039281fb94e7128e1dc439c7c3f437e74356518085f4c5a7567
|
|
| MD5 |
649c04e6105ea2302bade5014a6017f2
|
|
| BLAKE2b-256 |
49a36019b3076deb72a72781091e6c1845d955c3f6729f7ddf1fbd8bfd861bea
|
Provenance
The following attestation bundles were made for data_slice-0.4.0.tar.gz:
Publisher:
ci.yml on markm-io/dataslicer
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
data_slice-0.4.0.tar.gz -
Subject digest:
d78d0fa22256a039281fb94e7128e1dc439c7c3f437e74356518085f4c5a7567 - Sigstore transparency entry: 186183556
- Sigstore integration time:
-
Permalink:
markm-io/dataslicer@fb2be925cb4f0b8723c335ff49a4f5934be5d655 -
Branch / Tag:
refs/heads/main - Owner: https://github.com/markm-io
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
self-hosted -
Publication workflow:
ci.yml@fb2be925cb4f0b8723c335ff49a4f5934be5d655 -
Trigger Event:
push
-
Statement type:
File details
Details for the file data_slice-0.4.0-py3-none-any.whl.
File metadata
- Download URL: data_slice-0.4.0-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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
26928d41ebd37ca2a94f69092eeb45e8695643f4696676f4d50561ce555b7d6d
|
|
| MD5 |
f86c0fbe5a50b79cbc31a4cd6dbc8c31
|
|
| BLAKE2b-256 |
2b032473b48ff5769c38bee1f185e622c25cad6563b6b8fb6e1829fda8626d64
|
Provenance
The following attestation bundles were made for data_slice-0.4.0-py3-none-any.whl:
Publisher:
ci.yml on markm-io/dataslicer
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
data_slice-0.4.0-py3-none-any.whl -
Subject digest:
26928d41ebd37ca2a94f69092eeb45e8695643f4696676f4d50561ce555b7d6d - Sigstore transparency entry: 186183560
- Sigstore integration time:
-
Permalink:
markm-io/dataslicer@fb2be925cb4f0b8723c335ff49a4f5934be5d655 -
Branch / Tag:
refs/heads/main - Owner: https://github.com/markm-io
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
self-hosted -
Publication workflow:
ci.yml@fb2be925cb4f0b8723c335ff49a4f5934be5d655 -
Trigger Event:
push
-
Statement type:
