semvec/pypi-packages huggingface dataset:
steamtags 0.1.2
Steam Tags on PyPI
Requires Python: >=3
Keywords: steam,steamtags,tags,api

# Match Steam Tags

[![PyPI status][pypi-image]][pypi]
[![Build status][build-image]][build]
[![Updates][dependency-image]][pyup]
[![Python 3][python3-image]][pyup]
[![Code coverage][codecov-image]][codecov]
[![Code Quality][codacy-image]][codacy]

This repository contains Python code to match Steam tags with appIDs.

## Installation

The code is packaged for [PyPI](https://pypi.org/project/steamtags/), so that the installation consists in running:

```bash
pip install steamtags
```

## Usage

### Load genres and tags from a local cache, if available. Otherwise, download them.

```python
import steamtags

genres_dict, tags_dict = steamtags.load()
```

### Download genres and tags based on Top 100 games, with respect to the number of players in the last two weeks.

```python
import steamtags

genres_dict, tags_dict = steamtags.download(data_source='top100in2weeks')
```

### Download genres and tags based on Top 100 games, with respect to the number of players since March 2009.

```python
import steamtags

genres_dict, tags_dict = steamtags.download(data_source='top100forever')
```

### Download genres and tags based on Top 100 games, with respect to the estimated number of owners.

```python
import steamtags

genres_dict, tags_dict = steamtags.download(data_source='top100owned')
```

## References

-   An exhaustive list of tags can be found in [`steam-labs-recommender`](https://github.com/woctezuma/steam-labs-recommender).

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[codecov]: <https://codecov.io/gh/woctezuma/match-steam-tags>
[codecov-image]: <https://codecov.io/gh/woctezuma/match-steam-tags/branch/master/graph/badge.svg>

[codacy]: <https://www.codacy.com/app/woctezuma/match-steam-tags>
[codacy-image]: <https://api.codacy.com/project/badge/Grade/99ed16e3606947e391ace1e1910305c4>
imopay-wrapper 0.0.10
Cliente oficial imobanco
Requires Python: >=3.7
Keywords: Imopay API client wrapper

.. |br| raw:: html

  <br/>

|br|

Cliente oficial do Imobanco feito em Python, para realizar integração com o gateway de pagamento Imopay.

`Documentação oficial do Imopay <https://imopay.com.br>`_