semvec/pypi-packages huggingface dataset:
inmet-stations 0.1.0
This package aims to make it easier to find the weather station in the INMET database closest to the desired location.
License: MIT
Requires Python: <3.14,>=3.12
Keywords: weather, meteorology, inmet, geospatial

<p align="center">
  <img src="logo-horizontal.png" alt="IWS Logo" width="400"/>
</p>

<h1 align="center">IWS - Inmet Weather Stations</h1>

<p align="center">
  Python package for processing and analyzing data from INMET weather stations.
</p>

<p align="center">
  <!-- Inline badges -->
  <img src="https://img.shields.io/badge/python-3.12%2B-blue" alt="Python 3.12+"/>
  <img src="https://img.shields.io/badge/license-MIT-green" alt="License: MIT"/>
  <img src="https://img.shields.io/badge/status-active-success" alt="Status: Active"/>
  <img src="https://img.shields.io/badge/docs-available-blueviolet" alt="Docs: Available"/>
</p>

---

## 📦 Installation

Install the package using pip:

```bash
pip install iws
```

---

## 🚀 Basic Usage

```python
from iws import InmetStations

stations = InmetStations()

# List available stations
print(stations.list())

# Retrieve data from a specific station
data = stations.get("A001")
print(data.head())
```

---

## 🌦️ Features

- 📊 Download and process historical data from INMET
- 🌍 Support for multiple weather stations
- ⚡ Optimized functions for analysis with pandas and numpy
- 📈 Ready for integration with notebooks and dashboards

---

## 📚 Documentation

Full documentation is available at the [Project Wiki](https://github.com/your-username/iws/wiki).

---

## 🤝 Contributing

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

---

## 📜 License

Distributed under the MIT License.
See the `LICENSE` file for more information.
image-processor-dio 0.1.1
A small Python library for image processing, including structural similarity, histogram matching, and plotting features.
License: MIT
Requires Python: >=3.6

# ðŸ“¸ Processador de Imagens DIO

<p align="center">
  <img src="https://img.shields.io/badge/Python-3.8+-blue?logo=python" alt="Python Version">
  <img src="https://img.shields.io/badge/pypi-v0.1.0-orange?logo=pypi" alt="PyPI Version">
  <img src="https://img.shields.io/badge/License-MIT-green" alt="License">
</p>

## Sobre o Projeto

O **Processador de Imagens DIO** (`image-processor-dio`) Ã© um pacote Python simples e eficiente desenvolvido para realizar tarefas comuns de manipulaÃ§Ã£o e anÃ¡lise de imagens, como redimensionamento, conversÃ£o para escala de cinza e plotagem de histogramas.

Este projeto foi criado como parte das atividades da **Digital Innovation One (DIO)**, com foco em demonstrar o empacotamento, distribuiÃ§Ã£o e uso de bibliotecas como **NumPy**, **Matplotlib** e **Scikit-image**.

---

## ðŸš€ InstalaÃ§Ã£o

O pacote `image-processor-dio` estÃ¡ disponÃ­vel no PyPI, facilitando a instalaÃ§Ã£o via `pip`.

### PrÃ©-requisitos

* Python 3.8 ou superior.

### Instalando o Pacote

```bash
pip install image-processor-dio
k-nickname 0.1.6
A simple Python package to generate Korean-style nickname
License: MIT
Requires Python: >=3.8

# k-nickname

A simple Python package to generate fun Korean-style nicknames like:

- 잔망스러운햄스터37
- 부드러운앵무새
- 순수한문어🎛
- 붉은불사조519

## Installation (패키지 설치)

```bash
pip install k-nickname
```

## Usage (사용 예시)

```python
from k_nickname.generator import Generator

gen = Generator()
print(gen.generate_k_nickname()) # 심쿵고래7

gen2 = Generator(use_number=False, use_emoji=True)
print(gen.generate_k_nickname()) # 상쾌한곰🎅
```