Metadata-Version: 2.1
Name: hoopR-py
Version: 0.0.9
Summary: Retrieve men's basketball data from ESPN in Python
Home-page: https://github.com/saiemgilani/hoopR-py
Author: Saiem Gilani
Author-email: saiem.gilani@gmail.com
Maintainer: Saiem Gilani
License: MIT
Project-URL: Docs, https://hoopR-py.sportsdataverse.org/
Project-URL: Bug Tracker, https://github.com/saiemgilani/hoopR-py/issues
Keywords: basketball data nba statistics web scraping
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
Requires-Dist: numpy (>=1.13.0)
Requires-Dist: pandas (>=1.0.3)
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# hoopR-py <a href='https://hoopR-py.sportsdataverse.org/'><img src='https://hoopR-py.sportsdataverse.org/img/hoopR-py-logo.png' align="right" height="150" /></a>
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See [CHANGELOG.md](http://hoopr-py.sportsdataverse.org/CHANGELOG) for details.

[hoopR-py](https://hoopr-py.sportsdataverse.org/) is an Python package for working with men’s basketball data and companion package to [hoopR](https://saiemgilani.github.io/hoopR/)

The package has functions to access live play by play and box score data from ESPN with shot locations when available.

## Installation

hoopR-py can be installed via pip:

```bash
pip install hoopR-py
```

or from the repo (which may at times be more up to date):

```bash
git clone https://github.com/saiemgilani/hoopR-py
cd hoopR-py
pip install -e .
```


# **Our Authors**

-   [Saiem Gilani](https://twitter.com/saiemgilani)       
<a href="https://twitter.com/saiemgilani" target="blank"><img src="https://img.shields.io/twitter/follow/saiemgilani?color=blue&label=%40saiemgilani&logo=twitter&style=for-the-badge" alt="@saiemgilani" /></a>
<a href="https://github.com/saiemgilani" target="blank"><img src="https://img.shields.io/github/followers/saiemgilani?color=eee&logo=Github&style=for-the-badge" alt="@saiemgilani" /></a>


## **Citations**

To cite the [**`hoopR-py`**](https://hoopr-py.sportsdataverse.org/) Python package in publications, use:

BibTex Citation
```bibtex
@misc{saiemgilani2021hoopRpy,
  author = {Gilani, Saiem},
  title = {hoopR-py: The SportsDataverse's Python Package for Men's Basketball Data.},
  url = {https://hoopR-py.sportsdataverse.org/},
  year = {2021}
}
```


