semvec/pypi-packages huggingface dataset:
gi-cli 0.0.4
CLI to easily create .gitignore files
License: MIT
Requires Python: >=3.7,<4.0

# gi

> Easily create a .gitignore

![PyPI](https://img.shields.io/pypi/v/gi-cli?style=flat-square)
![PyPI - Downloads](https://img.shields.io/pypi/dm/gi-cli?style=flat-square)
![GitHub](https://img.shields.io/github/license/ninest/gi?style=flat-square)

## Usage

```bash
# Install it
$ pip install gi-cli

# Add a language framework
$ gi add python

# Or add multiple
$ git add node python

# Clear your gitignore
$ git clear

# Uninstall it
$ pip uninstall gi-cli
```

**Note**: Mac or Linux users may have to use `pip3` instead of `pip`.

## Build setup

Clone or fork the repository, then run the commands:

```bash
poetry shell
poetry install
```

Add the pre-commit hooks:

```bash
pre-commit install
```

### Editor settings

```json
{
  "python.formatting.provider": "black",
  "editor.formatOnSave": true,
  "[python]": {
    "editor.insertSpaces": true,
    "editor.detectIndentation": false,
    "editor.tabSize": 4
  },
  "python.linting.enabled": true,
  "python.linting.flake8Enabled": true,
  "python.linting.pylintEnabled": false,

  "python.pythonPath": "/Users/username-here/Library/Caches/pypoetry/virtualenvs/xxx-py3.7"
}
```

## License

MIT
si-mager 0.0.1
A small package
License: MIT
Requires Python: >=3.6
Keywords: nlp,text-processing,machine-learning,data-scientist,text-cleaner

# si_mager
Tools for cleaning or preprocessing text data

## Features
```
- Remove Hastag, mention, nonascii, emoticons, html tag, punctuation,
  character, repeated character, repeated word, number, whitespace
- Stopword Operation
- Text normalizer Operation
```

## Instalation
```
pip install si_mager
```
## Getting Started
```
from si_mager import text_cleaner, stop_word, normalizer


text_cleaner.rm_url("your text data")

text_cleaner.rm_all("your text data")

text_cleaner.rm_set([
    "rm_hastag",
    "rm_mention",
    "rm_url",
    "rm_punct",
    "rm_whitespace"
])
text_cleaner.rm("your text data")

stop_word.remove("your text data")

normalizer.text("your text data")
```
Full Example Usage [Here](https://github.com/ulwan/si_mager/tree/master/si_mager/example)