semvec/pypi-packages huggingface dataset:
relic-tool-chunky-core 1.1.0
Core files used to read/write Relic Chunky files.
Requires Python: >=3.9

# Relic Tool - Chunky - Core
[![PyPI](https://img.shields.io/pypi/v/relic-tool-chunky-core)](https://pypi.org/project/Relic-Tool-Chunky-Core/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/relic-tool-chunky-core)](https://www.python.org/downloads/)
[![PyPI - License](https://img.shields.io/pypi/l/relic-tool-chunky-core)](https://github.com/MAK-Relic-Tool/Relic-Tool-Chunky-Core/blob/main/LICENSE.txt)
[![linting: pylint](https://img.shields.io/badge/linting-pylint-yellowgreen)](https://github.com/PyCQA/pylint)
[![Checked with mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Pytest](https://github.com/MAK-Relic-Tool/Relic-Tool-Chunky-Core/actions/workflows/pytest.yml/badge.svg)](https://github.com/MAK-Relic-Tool/Relic-Tool-Chunky-Core/actions/workflows/pytest.yml)
[![Pylint](https://github.com/MAK-Relic-Tool/Relic-Tool-Chunky-Core/actions/workflows/pylint.yml/badge.svg)](https://github.com/MAK-Relic-Tool/Relic-Tool-Chunky-Core/actions/workflows/pylint.yml)
[![MyPy](https://github.com/MAK-Relic-Tool/Relic-Tool-Chunky-Core/actions/workflows/mypy.yml/badge.svg)](https://github.com/MAK-Relic-Tool/Relic-Tool-Chunky-Core/actions/workflows/mypy.yml)
[![GitHub issues by-label](https://img.shields.io/github/issues/MAK-Relic-Tool/Issue-Tracker/Chunky)](https://github.com/MAK-Relic-Tool/Issue-Tracker/issues?q=is%3Aissue+is%3Aopen+label%3AChunky)
#### Disclaimer
Not affiliated with Sega, Relic Entertainment, or THQ.

#### Description
Core files used to read/write Relic Chunky files.

## Installation (Pip)
### Installing from PyPI (Recommended)
```
pip install relic-tool-chunky-core
```
### Installing from GitHub
For more information, see [pip VCS support](https://pip.pypa.io/en/stable/topics/vcs-support/#git)
```
pip install git+https://github.com/MAK-Relic-Tool/Relic-Tool-Chunky-Core
```

## Report A Bug / Issue
Visit the [Issue Tracker](https://github.com/MAK-Relic-Tool/Issue-Tracker/issues)
Awesome-Linear-Regression 1.0.0
Awesome Linear Regression , is a mathematics API written in Python.
Requires Python: >=3.7

# Awesome Linear Regression
![Awesome Linear Regression](https://github.com/somkietacode/Awesome_Linear_Regression/blob/main/image/alr.png?raw=true)
Linear regression attempts to model the relationship between variables by fitting a linear equation to observed data. 
This repository hosts the development of the Awesome Linear Regression library.

## About Awesome Linear Regression

Awesome Linear Regression , is a mathematics API written in Python.
It was developed with a focus on enabling fast experimentation.
*Being able to go from idea to result as fast as possible is key to doing good research.*

Awesome Linear Regression is:

-   **Simple** 
-   **Flexible** 
-   **Powerful** 

## First contact with Awesome Linear Regression

The core data structures of Awesome Linear Regression are __consign__ and __result__.

For installation run :

```
pip install Awesome-Linear-Regression

```

Here is an `exemple` :

```python
from Awesome_Linear_Regression import linearregression as LR
import pandas as pd
import numpy as np

# Sample training data set

x = np.matrix([[0,1],[1,4],[7,8],[50,23]])
y = np.matrix([[2],[9],[23],[96]])

# Train the model

Lr = linearregression(x,y)
Beta, rss = Lr.leastsquare()


```

Let make prediction

```python

 px = np.matrix([[4,7]])
 print(Lr.predict(px))

```

---
## Support

You can ask questions and join the development discussion:

- [Facebook page](https://www.facebook.com/globalanalysistech) .

---
PySpeakItOut 0.2.2
PySpeakItOut AudioBook package
Keywords: python


# PySpeakItOut Package

PySpeakItOut package is a audiobook that makes you fall in love with reading books, it extract content from pdf and convert it into a audiobook to increase your reading efficiency

## Installation

Install PySpeakItOut package by giving command

```bash
  pip install PySpeakItOut
```
    
## Important Note

    before passing book name in reader method as a 
    parameter, please make sure that book is present in 
    the same directory where you are coding
## Examples

```python

    from PySpeakItOut import reader

    reader.readitout(book='bookname.pdf',
                  voice='male' or 'female',
                  page_number=8,
                  speech_rate=160)

```

## Author

@krishna_sonune

Author
@kris
BoldLines 0.1.1
BoldLines Python Package
Keywords: python,first package


# BoldLines Package

BoldLines package will help you to impress other people by using unique pickup lines

## Installation

Install BoldLine package using command

```bash
  pip install BoldLines
```
    
## Examples

```python
    from BoldLines import lines

    fun = lines.getLine(type='funny')
    print(fun)

    chessy = lines.getLine(type='cheesy')
    print(chessy)

    cute = lines.getLine(type='cute')
    print(cute)
```


## Authors

- [@krishna sonune](https://www.github.com/krishnasonune)


## 👨‍💻 About Me
I'm a full stack developer...
xia-meta-secret 0.1.2
X-I-A Meta Secret
Requires Python: >=3.9

.. image:: https://img.shields.io/pypi/v/xia-meta-secret.svg?color=blue
   :alt: PyPI-Server
   :target: https://pypi.org/project/xia-meta-secret/

====================================
X-I-A Meta Secret
====================================

Hold secret values.


Quick start
=============================

Install the package::

    pip install xia-meta-secret