semvec/pypi-packages huggingface dataset:
ragshu 0.1.2
My First Python Package
License: MIT
Requires Python: >=3.6


# __|The RAGSHU Index|__

This is a Python library that provides basic math utility functions.

## __|Installation|__

You can install this library using `pip`:

```bash
pip install ragshu
```

## __|Usage|__

```python
from ragshu import add

result = add(1, 2)
print(result)  # Output: 3
```
aquacrop-ss 3.0.7.dev2
A copy of aquacrop model based on version 3.0.7, fixed some deprecated warnings.
License: MIT
Requires Python: <3.12,>=3.10

# AquaCrop-OSPy

Soil-Crop-Water model based on AquaCrop-OS.

This is adapted from the original AquaCrop-OS model, which is [a crop growth model developed by FAO](https://github.com/aquacropos/aquacrop).
Based on 3.0.7 version and made some modifications on deprecated warnings.
pokedex-api 0.1.0
A simple API wrapper for accessing Pokémon information.
License: MIT

# Pokédex API

A simple Python package for retrieving Pokémon information from the PokéAPI. With this package, you can easily access data such as Pokémon stats, images, and other details.

## Features
- Retrieve Pokémon information by name.
- Get the image URL of the Pokémon.
- Access Pokémon stats like speed, attack, defense, etc.

## Installation
You can install the package using pip:
```bash
pip install pokedex-api
```

## Usage
Here's a quick example of how to use the Pokédex API package:
```python3
from pokedex_api import PokedexAPI

# Create an instance of the PokédexAPI class
api = PokedexAPI()

# Retrieve information about a Pokémon
pokemon = api.get_pokemon('pikachu')

# Get the Pokémon's image URL
image_url = api.get_pokemon_image(pokemon)

# Get the Pokémon's stats
stats = api.get_stats(pokemon)

# Print the results
print(f"Name: {pokemon['name']}")
print(f"Image: {image_url}")
print(f"Stats: {stats}")
```

## Contributing
Contributions are welcome! If you'd like to contribute to this project, please fork the repository and submit a pull request.

## License
This project is licensed under the MIT License. See the LICENSE file for details.

## Author
Andrew Muratov  
[GitHub](https://github.com/AndrewAMur)  
andrewamuratov@gmail.com