semvec/pypi-packages huggingface dataset:
serbian-text-converter 0.1.5
A utility package for converting Serbian text between Cyrillic and Latin scripts, and generating slugs.
Requires Python: >=3.1

# Serbian Text Converter

A Python utility for converting Serbian text between Cyrillic and Latin scripts, and generating URL-friendly slugs.

## Installation

```bash
pip install serbian-text-converter
```

## Usage

from serbian_text_converter import SerbianTextConverter

### Convert to Latin
print(SerbianTextConverter.to_latin("Љубав"))  # Output: Ljubav

### Convert to Cyrillic
print(SerbianTextConverter.to_cyrillic("Ljubav"))  # Output: Љубав

### Normalize for URLs
print(SerbianTextConverter.normalize("Љубав и Живот"))  # Output: ljubav-i-zivot
DataHandler-Group-2 0.1.0
Dataset handler
Requires Python: >=3.11.5

# DatasetHandler_Group2 Library

DatasetHandler_Group2 is a Python library designed to simplify data cleaning, preprocessing and visualization created by the PBL group 2 of the third year of the bachelor's degree in Engineering Physics Applied to Industry at the AsFabrik campus of Mondragon Unibertsitatea.
The library created by the group formed by Irati Azpilgain, Mikel Ballesteros, Ander Crespo, Estibaliz Cruz, Lucas Lafuente and Mikel Puerta offers an easy-to-use interface for common data science tasks such as handling missing values, removing outliers and creating graphs.

## Installation

You can install DatasetHandler_Group2 via pip:

```bash
pip install DatasetHandler_Group2
```

## Usage

Here's a basic example of how to use DatasetHandler_Group2:

```python
from DatasetHandler_Group2 import DatasetHandler_Group2

# Initialize with your dataset and start the menu
handler = DatasetHandler_Group2(data="sample.csv")
handler.initiate()
```

## Features

- Load datasets from CSV or Excel files.
- Clean data by dropping or imputing missing values.
- Detect and remove outliers.
- Generate descriptive plots such as histograms, scatter plots, and heatmaps.
- Save the cleaned dataset back to a file.

## Dependencies

The following Python libraries are required:

- pandas
- numpy
- seaborn
- matplotlib
- scikit-learn

You can install them via pip:

```bash
pip install pandas numpy seaborn matplotlib scikit-learn
```
## License

This project is licensed under the MIT License.

## Contact

For questions or issues, please contact mikel.puerta@alumni.mondragon.edu