semvec/pypi-packages huggingface dataset:
sinunika-parser 1.0.3
This project is intended for scrapping some information from sintak.unika.ac.id. Developer assume no liability and are not responsible for any misuse or damage

## SINTAK PARSER
HOST: sintak.unika.ac.id/id/

## USAGE
```python
from lib.Fetch import Fetch

username = '15.N1.0020'
password = 'tanggal lahir'

sintak = Fetch(username, password)
```

## Method
#### `getDataBarChart(self)`
Provide all IPS until now, data return in JSON

#### `getDataPieChart(self)`
Provide all academic value A/AB/etc and count it, data return in JSON

#### `getKtm(self, saveTo)`
Get KTM Sementara and save to directory

## UPDATE
soon

## Contributing
Pull request is welcome and i so happy if you help me :)

## Error/Issue
Please create new issue if you encounter some problem

## LICENSE
ordinalizer 1.0.0
A package helping to get numbers as ordinals

# Ordinalizer

## About

This package is there to help you ordinalizing your cardinal numbers. I.e. to turn `42` into `42nd`.

For more examples, please refer to the unit tests.

## Contributing

If you'd like to contribute, feel free, you keep in mind these two points:

- keep the interface simple and understandable
- follow Python best practices

If you feel that the code doesn't follow these principles either open a PR or an issue.

Thank you.
sintak-unika-parser 1.0.1
Packages for parser and scrap information from sintak unika

## SINTAK PARSER
HOST: sintak.unika.ac.id/id/

## USAGE
```python
from lib.Fetch import Fetch

username = '15.N1.0020'
password = 'tanggal lahir'

sintak = Fetch(username, password)
```

## Method
#### `getDataBarChart(self)`
Provide all IPS until now, data return in JSON

#### `getDataPieChart(self)`
Provide all academic value A/AB/etc and count it, data return in JSON

#### `getKtm(self, saveTo)`
Get KTM Sementara and save to directory

## UPDATE
soon

## Contributing
Pull request is welcome and i so happy if you help me :)

## Error/Issue
Please create new issue if you encounter some problem

## LICENSE