semvec/pypi-packages huggingface dataset:
maid-manga-id 1.1
Maid Manga Indonesia wrapper using Python BeautifulSoup.
License: MIT
Keywords: manga maid_manga maid_manga_id manga_id MaidMangaID

# Maid Manga ID Wrapper
Maid Manga Indonesia wrapper using Python BeautifulSoup.
You can contact me on [LINE](https://line.me/ti/p/~your.bae_) or [Telegram](https://t.me/nekoha).

### Instalation
```sh
$ pip install maid_manga_id --upgrade
```
or
```sh
$ python setup.py install
```
### Features
- Search manga
- Get manga
- Download manga for each chapter (still development)
- and more.

### Usage
#### Get manga information
```python
from maid_manga import MaidManga
import asyncio

if __name__ == '__main__':
    maid = MaidManga()

    async def main():
        manga = await maid.info('kanojo mo kanojo')
        print(manga)

    asyncio.get_event_loop().run_until_complete(main())
```
#### Search manga
```python
from maid_manga import MaidManga
import asyncio

if __name__ == '__main__':
    maid = MaidManga()

    async def main():
        manga = await maid.search('kanojo mo kanojo')
        print(manga)

    asyncio.get_event_loop().run_until_complete(main())
```
#### Download manga each chapter
```python
from maid_manga import MaidManga
import asyncio

if __name__ == '__main__':
    maid = MaidManga()

    async def main():
        manga = await maid.info('kanojo mo kanojo')
        chapter = 1
        print(await manga.chapters[chapter-1].download())

    asyncio.get_event_loop().run_until_complete(main())
```

### Release note:
This project is under development, any meaningful pull request are opened.

### DISCLAIMER:
OOP (Object Oriented Programming) design is inspired from [this library](https://github.com/pyrogram/pyrogram)
siu-data 0.3.6
SIU data
License: MIT
Keywords: SIU

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# py SIU data
Obtener datos de sistemas SIU

Instalar

```
pip install siu-data
```

## Portal de Transparencia

Obtención de datos del portal de transparencia.

Ejemplo de uso

``` python
from siu_data.portal_data import SIUPoratlTransparenciaData

s = SIUPoratlTransparenciaData(base_url='http://wichi.siu.edu.ar/pentaho/plugin/cda/api/doQuery',
                               username='usuario_transparencia',
                               password='clave_transparencia')
s.load_all_data()
s.save_metadata('lala.csv')
```

## Tests

```
python -m pytest
```