Metadata-Version: 2.1
Name: datewise
Version: 0.2.2
Summary: Thesis Library
Home-page: https://datewise.readthedocs.io/
Author: Sebastian Gontkovic
Author-email: sebascngont@gmail.com
License: MIT
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: python-dateutil
Requires-Dist: pytest

# DateWise
A small demo library for a diploma thesis which focuses on virtual environments in Python. 

### Installation
```
pip install datewise
```

### Get started

The library focuses on combining the most popular date formats by allowing users to perform different operations regardless of the chosen data types.

As of right now, usage of strings, pandas Timestamp, and datetime formats is allowed.


