semvec/pypi-packages huggingface dataset:
prj-investiment 0.1.1
Uma biblioteca para cálculos de investimentos.
Requires Python: >=3.6

# Meu Investimento

Uma biblioteca Python para cálculos de investimentos.

## Instalação

Você pode instalar a biblioteca via pip:

```bash
pip install prj_investiment
```

## Uso

```python
from investimentos import calcular_retorno_investimento, calcular_juros_compostos

valor_inicial = 1000
valor_final = 1500

retorno = calcular_retorno_investimento(valor_inicial, valor_final)
print(f"Retorno do investimento: {retorno:.2f}%")

valor_final_juros = calcular_juros_compostos(valor_inicial, 6, 5)
print(f"Valor final com juros compostos: R${valor_final_juros:.2f}")
```
simple-colors-treinalinux 1.2.0
Simple colors to terminal

# Simple Colors

*Simple colors to terminal*

## Install module

```bash

pip3 install simple-colors-treinalinux

```

## Use Simple

```python
>>> import simple_colors
>>> simple_colors.c_failure("Falha ao tentar escrver no arquivo!")
Falha ao tentar escrver no arquivo!
>>> simple_colors.c_success("Sucesso ao escrver no arquivo!")
Sucesso ao escrver no arquivo!
>>> simple_colors.c_warning("Aviso ao escrver no arquivo!")
Aviso ao escrver no arquivo!
>>> simple_colors.c_info("Info ao escrver no arquivo!")
Info ao escrver no arquivo!
```

```python
>>> from simple_colors import c_failure, c_success, c_warning, c_info
>>> 
>>> c_failure("Falha ao tentar escrver no arquivo!")
Falha ao tentar escrver no arquivo!
>>> 
>>> c_success("Sucesso ao escrver no arquivo!")
Sucesso ao escrver no arquivo!
>>> 
>>> c_warning("Aviso ao escrver no arquivo!")
Aviso ao escrver no arquivo!
>>> 
>>> c_info("Info ao escrver no arquivo!")
Info ao escrver no arquivo!
```
ngxcfm 0.3.0
A command-line tool for managing Nginx configurations
Requires Python: >=3.7
Keywords: nginx, config, management, manager, cli, command-line, tool

# ngxcfm

## 简介

ngxcfm 是一个用于处理 *ix 系统中 Nginx 配置文件的跨平台软件。它提供了一系列命令行工具，用于从服务器下载 Nginx 配置文件、上传本地配置文件到服务器、格式化配置文件、修复符号链接以及启用或禁用特定的 Nginx 配置文件。

## 功能

- **pull**: 从服务器下载 Nginx 配置文件到本地目录。
- **push**: 将本地目录中的 Nginx 配置文件上传到服务器。
- **format**: 格式化本地目录中的 Nginx 配置文件。
- **relink**: 修复本地目录中的符号链接。
- **enable**: 启用指定的 Nginx 配置文件。
- **disable**: 禁用指定的 Nginx 配置文件。
- **list**: 列出配置文件目录中的 Nginx 配置文件。

## 用法

```sh
ngxcfm [动作] [选项] [源] [目标]
```

### 示例

- 从服务器下载配置文件到本地目录：

  ```sh
  ngxcfm pull Server1 Server1NginxConfs
  ```

- 将本地目录中的配置文件上传到服务器：

  ```sh
  ngxcfm push Server1NginxConfs Server1
  ```

- 格式化本地目录中的配置文件：

  ```sh
  ngxcfm format Server1NginxConfs
  ```

- 修复本地目录中的符号链接：

  ```sh
  ngxcfm relink Server1NginxConfs
  ```

- 启用指定的配置文件：

  ```sh
  ngxcfm enable Server1NginxConfs/sites-available/xxx.conf
  ```

- 禁用指定的配置文件：

  ```sh
  ngxcfm disable Server1NginxConfs/sites-available/xxx.conf
  ```

## 安装

1. 克隆项目到本地：

   ```sh
   git clone https://github.com/yourusername/ngxcfm.git
   ```

2. 使用pip进行本地安装：

   ```sh
   pip install .
   ```

3. 执行 `ngxcfm` 命令：

   ```sh
   ngxcfm
   ```

## 许可证

本项目采用 MIT 许可证。详情请参阅 LICENSE 文件。
SignalSemaphore 0.0.7
A simple event signaling system
Requires Python: >=3.12

# **This module has been included into 'utilitea' and will no longer receive any updates.<br>I strongly suggest you use 'utilitea' instead.**

# ~~SignalSemaphore~~

~~A lightweight Python event signaling system.~~

## ~~Installation~~


## ~~Usage~~
excelsync 0.1.0
Library for managing Excel sheets with predefined structures
Requires Python: >=3.8

# ExcelSync

A Python library for managing Excel sheets with predefined structures and validations.

## Features

- Define and validate Excel sheet layouts
- Check Excel sheet structure integrity
- Extract sheet structure to external file format
- Compare Excel sheet structure against stored representation
- Convert Excel content to YAML with schema information

## Installation

```bash
pip install excelsync
```

## Usage

```python
from excelsync import ExcelSync

# Load an Excel file
excel = ExcelSync("your_excel_file.xlsx")

# Validate the structure
is_valid, issues = excel.validate_structure()

# Export structure to file
excel.export_structure("structure.json")

# Compare with stored structure
is_matching = excel.compare_structure("structure.json")

# Export to YAML with schema
excel.export_to_yaml("output.yaml")
```

## Development

Setup your development environment:

```bash
# Clone the repository
git clone https://github.com/jseitter/excelsync.git
cd excelsync

# Create a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest
```

## License

MIT