semvec/pypi-packages huggingface dataset:
Toggle 1.1.3
Toggle is a python package for string to toggle the given string in different toggle pattern.
Requires Python: >=3.6

# Toggle
Toggle is a python package for string to toggle the given string.


[![version](https://img.shields.io/badge/version-1.1.3-yellow.svg)](https://pypi.org/project/Toggle/)
[![Build Status](https://travis-ci.org/AlexIoannides/py-package-template.svg?branch=master)](https://pypi.org/project/Toggle/)

## Installing

Install and update using [pip](https://pip.pypa.io/en/stable/quickstart/):

```bash
pip install git+https://github.com/JKL404/Toggle.git
#or
pip install Toggle

```

**Running:**
```
from Toggle.Toggle import Toggle

Toggle("My StriNg",choice) #default choice is 0

Toggle(String,Choice,Speed) #with slow typing if you don't want use slow typing ignore speed parameter
```

**Syntax:**
```
Toggle(string, choice, speed)
```
**Example:**
```
Toggle("JokER beautiful",0)
```
## ***Choice Option:***
__________________
* ***(0): Default***
   - **output:**  jOKer BEAUTIFUL

* ***(1): Toggle with lower_UPPER_lower_UPPER ..***
   - **output:** jOkEr BeAuTiFuL

* ***(2): Toggle with UPPER_lower_UPPER_lower ....***
  - **output:** JoKeR bEaUtIfUl

* ***(3): Toggle with lower_UPPER_UPPER  lower_UPPER_UPPER ....***
  - **output:** jOKER bEAUTIFUL

* ***(4): Toggle with UPPER_lower_lower  UPPER_lower_lower ....***
  - **output:** Joker Beautiful
 
* ***(5): Same Text***
  - **output:** JokER beautiful
  
____________________________
  

## ***Speed Option:***
__________________
**Typing speed is between 1 to 1000**

  **Example:**
```
Toggle(string, choice, 50)
```
  ____________________________
## ***Thanks :blush:***
  :heartbeat: Nakali :kissing_heart:
    PM  :heartpulse:
textures 0.1.6
A python package to extract features from text data

Textures
~~~~~~~~~~~~~~~~~~~~~~
Textures is a python package that allows you to extract some handy features and stats from text columns in Pandas DataFrames.
It also includes some useful functions for cleaning text and extracting patterns (e.g., hashtags and emails from strings) and save your time looking for regular expression patterns on google and stackoverflow

Overview
~~~~~~~~~~~~~~~~~~~~~~
The package has three modules:

`features`: has a `extract_features` which allow you to compute and return more than 30 features from a Pandas DataFrame.

`clean_text`: provides several functions for cleaning string inputs (e.g., remove hashtags).

`find`: provides several functions for finding patterns such as hashtags in string inputs.
Installation
~~~~~~~~~~~~~~~~~~~~~~



License
~~~~~~~~~~~~~~~~~~~~~~




Bibliography
~~~~~~~~~~~~~~~~~~~~~~

See also
~~~~~~~~~~~~~~~~~~~~~~