semvec/pypi-packages huggingface dataset:
datass 0.0.1.dev2
Data Science Shortcuts. Package for lazy, or overwhelmed, data scientists
License: MIT
Requires Python: >=3.8

![](etc/img/apple-touch-icon.png)

# [**Data** **S**cience **S**hortcuts - DataSS](https://htbrandao.github.io/datass/)

This time I *really* got tired of rewriting the same old data analysis functions again.

For now on I'll write them in this package.

MIT License.

# Installation

Download and install:

```bash
git clone https://gitlab.com/htbrandao/datass.git

cd datass/

pip3 install -e .
```

or, install from PyPI:

```bash
pip3 install datass
```

or, install a specific version:

```bash
pip3 install datass==0.0.1
```

# Usage

Example:

```python
import datass

import pandas as pd

df = pd.read_csv('some-file.csv')

# find null values
datass.dataframe.inspection._isnull(df)

# run value counts
datass.dataframe.inspection._value_counts()(df)

# run describe
datass.dataframe.inspection._describe(df)
```

# Other

- Documentation created using [Sphinx](https://www.sphinx-doc.org/en/master/)
- Packaged using this [guide](https://packaging.python.org/tutorials/packaging-projects/)
- Bootstrap [theme](https://startbootstrap.com/theme/freelancer)

# TODO & FIXME

    1 - keep on coding the actual module
    1.1 - update docs
    1.2 - fix proj page not fowarding to docs
    1.3 - improve 404.md
    2 - YOLO
thai-tokenizer 0.2.5
Fast and accurate Thai tokenization library.
License: MIT
Requires Python: >=3.6
Keywords: thai,tokenizer

# Thai Tokenizer
Fast and accurate Thai tokenization library using supervised [BPE](https://en.wikipedia.org/wiki/Byte_pair_encoding) designed for full-text search applications.



## Installation
```bash
pip3 install thai_tokenizer
```



## Usage
Default set of pairs is optimized for short Thai-English product descriptions.
```python
from thai_tokenizer import Tokenizer
tokenizer = Tokenizer()
tokenizer('iPad Mini 256GB เครื่องไทย') #> 'iPad Mini 256GB เครื่อง ไทย'
tokenizer.split('เครื่องไทย') #> ['เครื่อง', 'ไทย']
```



## Training
See [Training](TRAINING.md) for guidelines to train your own pairs.



## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.



## License
[MIT](https://choosealicense.com/licenses/mit/)