semvec/pypi-packages huggingface dataset:
emm-cmd 2.0
AI command line assistant.
Requires Python: >=3.6

# 🐠 EMM - what is the correct spell of that command again?

![](https://raw.githubusercontent.com/chunyang-w/chunyang-w.github.io/pic/202311241036931.webp)

All of us have been there, we are trying to write a command, but we are not sure what is the correct spelling of the command - "emm, what is that command again?"

Cool things is that, we can now use AI to help us to find the correct command.

Just try: `emm "what is the command to find all files start with 'data'?"`

And you will get several correct command generated by AI, choose them to run, and you are good to go!


## ⚙️ Installation

```python
pip install emm-cmd
```

## 🔧 Usage

### 🔐 Authentication

If you are using for the first time, you will need to run the following command after installation:

```shell
emm set_auth <your_open_ai_key>
```

If you have not registered for an open ai key, you will need to register [here](https://beta.openai.com/account/api-keys).

Please ensure that you have key registered, and your account have sufficient credits to use the API.


### ⌨️ Command

![](https://raw.githubusercontent.com/chunyang-w/chunyang-w.github.io/pic/202311232356431.webp)

```shell
emm <your_missing_command>
```

after this, hopefully you will see a table of commands that you are looking for, with explanation.

Please use your arrow key to select and run.


### 💬 Chat

Your favourite chat bot is now available in your terminal. Just use the `--chat` flag:

![](https://raw.githubusercontent.com/chunyang-w/chunyang-w.github.io/pic/202311241036801.webp)
LPLG 0.0.16
Gather date for LPL players
Requires Python: >=3.10

# LPLG

## Overview

### PTBR

A biblioteca LPLGather é uma ferramenta poderosa que coleta e organiza dados da Liga LPL em um formato conveniente de CSV. Com esta biblioteca, você pode facilmente extrair informações atualizadas e estatísticas da liga para análises, visualizações de dados ou qualquer outro fim que você possa precisar. Simplifique a obtenção de dados da LPL e aumente a eficiência do seu projeto com o LPLGather.

## Instalação

Para instalar basta seguir o comando:

```bash
pip install LPLG
```

### ENG

The LPLGather library is a powerful tool that gathers and organizes data from the LPL in a convenient CSV format. With this library, you can easily extract up-to-date information and league statistics for analysis, data visualizations, or any other purpose you may need. Simplify the acquisition of LPL data and enhance the efficiency of your project with LPLGather.

## Installation

To install LPLGather, use the following command:

```bash
pip install LPLG
```

# DOCS

[Documentação](https://matpaulods.github.io/LPLG/)

### .ENV
```bash
API_HEADERS_AUTH="xxx"
```
Exemple:
```py
from LPLGather import parse
df = parse.get_match_data(190,1)
print(df)
```

### Agradecimentos

Agradeço a rMaze pelo codigo do champion map.