Metadata-Version: 2.1
Name: data-preprocessors
Version: 0.13.0
Summary: An easy to use tool for Data Preprocessing specially for Text Preprocessing
Home-page: https://github.com/MusfiqDehan/data-preprocessors
License: MIT
Keywords: nlp,data-preprocessors,data-preprocessing,text-preprocessing,data-science
Author: Md. Musfiqur Rahaman
Author-email: musfiqur.rahaman@northsouth.edu
Requires-Python: >=3.6,<4.0
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Communications
Classifier: Topic :: Education
Classifier: Topic :: Software Development
Classifier: Topic :: Text Processing
Classifier: Topic :: Text Processing :: Linguistic
Project-URL: Repository, https://github.com/MusfiqDehan/data-preprocessors
Description-Content-Type: text/markdown

<h1 align="center">
    <img src="https://github.com/MusfiqDehan/data-preprocessors/raw/master/branding/logo.png">
</h1>

<p align="center">
    An easy to use tool for Data Preprocessing specially for Text Preprocessing
</p>

## Table of Contents
- [Installation](https://github.com/MusfiqDehan/data-preprocessors#installation)
- [Quick Start](https://github.com/MusfiqDehan/data-preprocessors#quick-start)


## **Installation**
Install the latest stable release<br>
**For windows**<br>
`$ pip install -U data-preprocessors`

**For Linux/WSL2**<br>
`$ pip3 install -U data-preprocessors`

## **Quick Start**
```python
from data_preprocessors import text_preprocessor as tp
sentence = "bla! bla- ?bla ?bla."
sentence = tp.remove_punc(sentence)
print(sentence)

>> bla bla bla bla
```


