semvec/pypi-packages huggingface dataset:
parstalk 1.3
Convert Farsi text to finglish with vowel detection and play sound
Requires Python: >=3.6

# ParsTalk

ParsTalk is a simple Python library to convert Persian (Farsi) text to Finglish with vowel detection and optionally play it as speech.
Please use punctuation marks for this library to function properly.
Thanks.

## Installation

```bash
pip install parstalk
```

## Usage

```python
from parstalk import farsi_to_finglish_with_vowels

text = "سَلام"
print(farsi_to_finglish_with_vowels(text))
```

## License
MIT
mysql-study-datamaker-CN 0.2.2.1
Generate some data and convert it to MySQL language.
Requires Python: >=3.8

# Mysql and Pandas random data generation

This is an auxiliary package for learning Mysql and Pandas, 
and the I feel that inserting some test data is too 
cumbersome to enter manually, 
so I write a method that generates this 
data **randomly** and can **automatically** write it 
in Mysql language and save it to a text file.
Currently, only insert into generation is supported.


Only Chinese is supported(Mysql).

0.2.1 更多信息通过get_help()与get_demo()查看

pandas的帮助信息：
```python
import DataMakeCN.pd_datamaker as pdk
print(pdk.get_demo()) # 查看如何使用 pandas随机生成的案例
```
mysql的帮助信息
```python
import DataMakeCN.datamaker as dm
print(dm.get_demo()) # 获取 mysql 相关的案例
print(dm.get_help()) # 获取 mysql 相关的帮助
```
使用案例(mysql) 1：
实例1，生成单一数据
姓名，性别，年龄，城市
```python
import DataMakeCN.datamaker as dm
one = dm.DataMaker(20, ("姓名", "性别", "年龄", "城市"))
one.get_data()
```

使用案例(mysql) 2：
示例2，员工信息
姓名，性别，生日，年龄，身份证，部门，手机，100人
```python
import DataMakeCN.datamaker as dm
one = dm.DataMaker(50, ("姓名", "性别", "工号", "分数语文", "分数数学", "分数英语"),
                work_head="2024.三班", work_numwidth=2)
one.get_data("insert_into")
```

使用案例(mysql) 3：
示例3，员工信息
姓名，性别，生日，年龄，身份证，部门，手机，100人
```python
import DataMakeCN.datamaker as dm
one = dm.DataMaker(100, ("姓名", "性别", "生日", "年龄", "身份证", "部门", "手机"))
one.get_data("insert_into")
```

使用案例(pandas.DataFrame) 4：
实例4，单纯的获取数据，并非写入数据，便于大家做数据分析时的使用
```python
import DataMakeCN.datamaker as dm
one = dm.DataMaker(20, ("姓名", "性别",  "年龄", "城市"))
api = one.API()
print(list(api['name']))
```

使用案例(pandas.DataFrame) 5：
示例5，DataFrame对象，该对象的随机成绩
列名：科目
行名：姓名
```python
from DataMakeCN.pd_datamaker import to_DataFrame_maker
index = ["Tom",
         "Bob",
         "Jerry",
         "Lucy",
         "Lily",
         "Mike",
         "Tony",
         "Amber",
         "Kevin",
         "Peter"]

r = to_DataFrame_maker(n=20, low=80, high=150,
                       seed=10, write=True,
                       display='flatten', index=index,
                       items=('a',))

r2 = to_DataFrame_maker(5,low=9, high=0.)
print(r)
```
setuptools-scm-patch 1.0.1
A tiny patch for setuptools_scm to customize version formatting.
Requires Python: >=3

# setuptools-scm-patch

A tiny patch for `setuptools_scm` to customize version formatting.

Transforms versions like: ```foo-0.3.1.dev21+g6c51818``` into: ```foo-0.3.21+g6c51818```

## Installation

Add `setuptools-scm-patch` to your `pyproject.toml`:

```toml
[build-system]
requires = [
  "setuptools>=64",
  "setuptools_scm>=8",
  "setuptools-scm-patch", # <<< Add this
]
build-backend = "setuptools.build_meta"
```

## Configuration

Enable the custom version scheme in `pyproject.toml`:

```toml
[project]
# ...
dynamic = ["version"]

[tool.setuptools_scm]
version_scheme = "setuptools_scm_patch:simple_version_scheme"
```

## License

MIT
botpgsql 0.3.0
Class to build database relationship for RPA
Requires Python: >=3.10

# BOTPGSQL

BOTPGSQL é uma ferramenta Python projetada para simplificar a interação com bancos de dados PostgreSQL. Este projeto fornece uma interface amigável e funcionalidades robustas para gerenciar consultas e operações em bancos de dados.

## Funcionalidades

- **Conexão Simplificada**: Crie conexões com bancos de dados PostgreSQL de forma rápida e segura.
- **Execução de Consultas**: Execute comandos SQL diretamente a partir da interface.
- **Gerenciamento de Resultados**: Manipule e visualize os resultados das consultas com facilidade.
- **Logs de Atividades**: Registre as operações realizadas para auditoria e depuração.

## Requisitos

- Python 3.10 ou superior.

## Instalação

1. Instale o pacote:
   ```bash
   pip install botpgsql
   ```

## Exemplo de Uso

```python
from botpgsql.database import Postgresql

if __name__ == "__main__":
  db = Postgresql('Bots')
  data = db.execute_script(
      """
      SELECT * FROM bots
      LIMIT 10
      """
  )
  print(data)
```

## Licença

Este projeto está licenciado sob a licença MIT. Consulte o arquivo [Licença MIT](LICENSE) para mais detalhes.

## Contribuições

Contribuições são bem-vindas! Caso tenha sugestões, melhorias ou correções, sinta-se à vontade para abrir uma issue ou enviar um pull request.

## Contato

Para dúvidas ou suporte, entre em contato com o mantenedor através do [repositório no GitHub](https://github.com/botlorien/botpgsql).