semvec/pypi-packages huggingface dataset:
QuotesEngine 6.0
A Python library to display some random motivation quotes.
Requires Python: >=3.6

QuotesEngine Library User Guide
==========================

Table of Contents
-----------------

1. [Introduction](#introduction)
2. [Installation](#installation)
3. [Usage](#usage)
4. [Examples](#examples)
5. [Troubleshooting](#troubleshooting)

Introduction
------------

QuotesEngine is a Python library designed to display random motivational quotes. The library is easy to use and provides a simple way to add motivation to your applications for some fun and creatives. this is just my first project so I am open to any feedback or suggestions. I am excited to share this with you and I hope you enjoy using it. 
```bash
Important Note ! 

#This is a test library created solely for educational purposes, to learn and understand the process of developing a Python library. Please note that this library is not intended for any serious applications, but rather for personal learning and experimentation. Your feedback and suggestions are highly appreciated, and will help me improve my skills and knowledge in creating Python libraries
```

# Installation
------------

To install the QuotesEngine library, run the following command in your terminal:

```bash
#to installl the library
pip install QuotesEngine
```

Usage
-----

To use the QuotesEngine library, simply import the `QuotesEngine` class and create an instance of it. You can then call the `Motivate` method to display a random motivational quote.

```python
#to initialise
import QuotesEngine

object_name= QuotesEngine.Motivate.username("Your name")
object_name.motivate()
```

Examples
--------

Here are a few examples of how you can use the QuotesEngine library:

### Display a Random Motivational Quote

```python
#example 
import QuotesEngine

person1=QuotesEngine.Motivate.username("sol")
person1.motivate()

```
### output :

```python
#output

Hello dhj !,  this is my first package 
┌────────────────────────────────────────────────────────────────┐
│     Little things make big days, dhj. Cherish every moment.    │
└────────────────────────────────────────────────────────────────┘
```

Troubleshooting
---------------

If you encounter any issues while using the Motivate library, please check the following:

* Make sure you have installed the library correctly.

    ```bash
    pip install QuotesEngine
    ```
* Check that you are using the correct syntax to import and use the library.
* If you are still having issues, I apologize if it's due to any oversight on my part during development. Please don't hesitate to reach out and provide your feedback, as it will help me improve the library and better serve you in the future.

Library Information
------------------

* Author: Sridharan
* Version: [2.0]()
* Country: India
* License: MIT [LICENSE](LICENSE)
* contact: sridharansri2312@gmail.com
num-word-converter 1.0.8
A package to convert numbers to words and vice-versa

# Number Word Converter

A Python library for converting numbers to words and vice versa. Supports both integers and decimal numbers.

## Features

- Convert numbers to English words
- Convert English words to numbers
- Support for:
  - Integers
  - Decimal numbers
  - Negative numbers
  - Large numbers (up to trillion)

## Installation

### For Users
```bash
pip install num-word-converter
```

### For Developers
```bash
git clone https://github.com/lazorikv/num-word-converter.git
cd num-word-converter
pip install -e .
```

## Usage

### Number to Words
```python
from num_word_converter import num_to_word
# Integer conversion
print(num_to_word(42)) # Output: "forty-two"
# Decimal conversion
print(num_to_word(3.14)) # Output: "three point one four"
# Negative numbers
print(num_to_word(-7)) # Output: "negative seven"
# Large numbers
print(num_to_word(1000000)) # Output: "one million"
```

### Words to Number
```python
from num_word_converter import word_to_num
# Integer words
print(word_to_num("forty-two")) # Output: 42
# Decimal words
print(word_to_num("three point one four")) # Output: 3.14
# Negative numbers
print(word_to_num("negative seven")) # Output: -7
# Large numbers
print(word_to_num("one million")) # Output: 1000000
```

## Error Handling

The library includes several error types for proper error handling:

- `NonNumberInputError`: Input is not a number
- `ComplexNumberInputError`: Input is a complex number
- `FractionTooLongError`: Fractional part is too long
- `ScaleOutOfOrderError`: Scale words are in wrong order
- `NoConversionForWordError`: Word cannot be converted

## Limitations

- Supports numbers up to trillion
- Maximum 10 decimal places for floating point numbers
- English language only


## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add some amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request

## License

This project is licensed under the MIT License - see the LICENSE file for details.
neomaril-codex 2.2.0rc1
Python tools for interact with Neomaril

# Neomaril Codex

For the brazilian portuguese README, click [here :brazil:](./README.pt-br.md).

## About

Package for interacting with Neomaril, a tool for deploying ML models.

## Getting started

### Install

```
  pip install neomaril-codex
```

### How to use

Check the [documentation](https://datarisk-io.github.io/mlops-neomaril-codex) page for more information.

There's also some [example](https://github.com/datarisk-io/mlops-neomaril-codex/tree/master/notebooks) notebooks.

### For developers

Install pipenv

```
  pip install pipenv
```

Install the package enviroment

```
  pipenv update --dev
  pipenv shell
```

Publish to Pypi

```
  python setup.py sdist
  twine upload --repository neomaril-codex dist/*
```
pynulty 0.1.0
A version-checker. (Also has some easter eggs.)
Requires Python: >=3.8

# A version checker, nulty
Todo:
- Make it actually work = Soon
- Change name = Done
- Usable Case = Soon
- Used in my libs = Done
- More checkers = Soon
- Easter eggs = 2/10

The ~~github~~ ~~gitlab~~ codeberg repository is [available](https://codeberg.org/Ilovelampadaire/nulty)[.](https://www.lamps-dev.dev/easter-egg)

This lib is literally the least coded lib of my profile. This is currently an useless lib but will be useful soon.


- P
- Y
- N
- U
- L
- T
- Y
- 🐍
- 🥛 (No nut emoji 😿)

I also put some easter eggs :)