Metadata-Version: 2.1
Name: datesy
Version: 0.8.0
Summary: basic tools for taking care for making the intro to handling handling with python easier
Home-page: https://github.com/janluak/datesy
Author: Jan Lukas Braje
Author-email: datesy@braje.org
License: Apache 2.0
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: xmltodict
Requires-Dist: openpyxl
Requires-Dist: xlrd
Requires-Dist: mysql-connector-python

# Datesy: the easy introduction in data handling with python
This library wants to help getting started with data handling in python3 and take care of just some stuff you don't wont to worry about

## Installation
The minimal required python version is `Python3.6`.
The easiest installation can be done by `pip3 install datesy`.

## Getting started
Once installed, just `import datesy` the package and start using as simple as:
`data_sheet = datesy.file_IO.xls_file.load_single_sheet(file_name, sheet_name)` &
`data = datesy.convert.pandas_data_frame_to_dict(data_sheet)` for handling your data as easy as a dictionary
For further guidance and help look at the documentation:

## Documentation

Please find the documentation here: [documentation](https://datesy.readthedocs.io/en/latest/)

## Release Notes
Please find all but the latest few release notes here: [release notes](https://datesy.readthedocs.io/en/latest/release_notes.html)

### 0.7.0
* initial commit


## Requests & contribution
If you desire anything changed in the package, need another feature please just create an issue.

I am happy for everybody wanting to contribute. Simplest way is to start writing issues, forking the repository and contacting me ;)



