Metadata-Version: 2.1
Name: sta
Version: 2.0.1
Summary: Parse tokens from an string into an array
Home-page: https://abranhe.com
Author: Carlos Abraham
Author-email: abraham@abranhe.com
License: UNKNOWN
Project-URL: Source, https://github.com/abranhe/sta
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Natural Language :: English
Classifier: Environment :: Plugins
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Description-Content-Type: text/markdown

<p align="center" id="top">
	<a href="https://pypi.org/project/sta"><img src="https://cdn.abraham.gq/projects/sta/logo.svg"></a>
	<br>
	<br>
	<br>
	<a href="https://pypi.org/project/sta"><b>sta</b></a>
	: Parse tokens from an string into an array
</p>

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# Overview

[**sta**](https://pypi.org/project/sta) extract the words from a string, and store those words in an array. The words are separated by an space/s.

# Install

```
pip install sta
```

# Usage

```py
import sta

print(sta('this string is divided by spaces'))
# => [ 'this', 'string', 'is', 'divided', 'by', 'spaces' ]
```

# API

### `sta('string')`

> Return an array with each token

**Return Type**: `list`

# Related

- [str-to-arr](https://github.com/abranhe/str-to-arr): convert an string into an array in JavaScript.
- [s-to-o](https://github.com/abranhe/s-to-o): convert an string into an object in JavaScript.

# Team

|[![Carlos Abraham Logo](https://avatars3.githubusercontent.com/u/21347264?s=50&v=4)](https://19cah.com)|
| :-: |
| [Carlos Abraham](https://github.com/abranhe) |

# License

[MIT](https://github.com/abranhe/sta/blob/master/LICENSE) License © [Carlos Abraham](https://github.com/abranhe/)


