Metadata-Version: 2.1
Name: TinyCTA
Version: 0.5.3
Summary: ...
Home-page: https://github.com/tschm/TinyCTA
Author: Thomas Schmelzer
Requires-Python: >=3.9.0,<3.12
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: pandas
Requires-Dist: plotly
Project-URL: Repository, https://github.com/tschm/TinyCTA
Description-Content-Type: text/markdown

# TinyCTA

[![PyPI version](https://badge.fury.io/py/tinycta.svg)](https://badge.fury.io/py/tinycta)
[![Apache 2.0 License](https://img.shields.io/badge/License-APACHEv2-brightgreen.svg)](https://github.com/tschm/tinycta/blob/master/LICENSE)
[![PyPI download month](https://img.shields.io/pypi/dm/tinycta.svg)](https://pypi.python.org/pypi/tinycta/)
[![Coverage Status](https://coveralls.io/repos/github/tschm/tinycta/badge.png?branch=main)](https://coveralls.io/github/tschm/tinycta?branch=main)

Underlying package for the 10-line cta

## Poetry

We assume you share already the love for [Poetry](https://python-poetry.org).
Once you have installed poetry you can perform

```bash
make install
```

to replicate the virtual environment we have defined in pyproject.toml.

## Jupyter

We install [JupyterLab](https://jupyter.org) on fly within the aforementioned
virtual environment. Executing

```bash
make jupyter
```

will install and start the jupyter lab.

