Project description

Python Datalib

Useful Python abstractions around the Pandas file Interaction and other common Tasks.

This workspace contains a Vscode devcontainer.

Trigger Version Bump pipeline with appropriate target.
Merge the created PullRequest. Name: :shipit: Bump to Version: <versionnumber>
This will create a Tag on main
Create a release from this Tag. A Pipeline will automatically push to Pypi

These details have not been verified by PyPI

0.1.1

Dec 19, 2023

0.1.0

Feb 1, 2023

This version

0.0.7

Nov 22, 2022

0.0.6

Nov 21, 2022

0.0.5

Nov 21, 2022

0.0.4

Nov 21, 2022

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Nov 22, 2022 Source

Uploaded Nov 22, 2022 Python 3

Hashes for j_pandas_datalib-0.0.7.tar.gz
Algorithm	Hash digest
SHA256	`424d1138038bd6b32fd1c4e9f1adecd020b93158e9dc11233cf048dbd6aca1b4`
MD5	`a7abf69d6e6c92f41053060d66346a5e`
BLAKE2b-256	`cfdbe18470e41045aff5ccc4c799d7e10ed4881f9dde9bd576398906e395a7f4`

Hashes for j_pandas_datalib-0.0.7-py3-none-any.whl
Algorithm	Hash digest
SHA256	`eab064ad7bc7757926199f154b036e7cdfcfd8f719ccbcb2d04ebc1999cd9bbf`
MD5	`b7a71f3bcf35277eacce8a3fd49b36ef`
BLAKE2b-256	`ddfad8cfff9923f61e931b046173835a1b9e1c9297a4b960373b857b92925723`