semvec/pypi-packages huggingface dataset:
russound 0.2.0
Python API for select Russound RNET commands to provide Russound support within home-assistant.io

> Moved to https://gitlab.com/lafwud/russound/

# Russound Python API
Implements a Python API for selected commands to the Russound system using the RNET protocol predominantly developed to
provide Russound support within home-assistant.io.
The class is designed to maintain a connection to the Russound controller, and reads the state directly 
from the controller using RNET.  In principle supported models include the CAS44, CAA66, CAM6.6 and CAV6.6.
Although testing has only been done on CAA66 and CAV6.6.  Function to control Russound implemented are:

####For a zone:
* set_power
* set_volume
* set_source
* toggle_mute
* get_power
* get_volume
* get_source

####Controller level
* all_on_off

test_harness.py shows some examples of usage.
sdna-conciliacao 0.1.1
Utilitários comuns para projetos de conciliação
Requires Python: >=3.9

# SDNA Conciliação

## Descrição

Este pacote contém funções reutilizáveis para o projeto de conciliação bancária desenvolvido pela SDNA. Ele fornece uma coleção de ferramentas e utilitários comuns que são frequentemente usados em várias partes do projeto principal de conciliação bancária.

## Funcionalidades

- Funções para processamento de dados financeiros
- Utilitários para manipulação de datas e moedas
- Ferramentas de validação para entradas bancárias
- Funções de formatação para relatórios

## Instalação

É fortemente recomendável usar o Poetry para gerenciamento de pacotes.

Para instalar o pacote, adicione o pacote como dependencia no poetry:

```bash
poetry add sdna-conciliacao
```
Shift-Cipher-app 0.1
Ứng dụng Shift Cipher với giao diện web

# Shift Cipher App

á»¨ng dá»¥ng Shift Cipher cho phÃ©p mÃ£ hÃ³a vÃ  giáº£i mÃ£ vÄƒn báº£n báº±ng cÃ¡ch sá»­ dá»¥ng ká»¹ thuáº­t dá»‹ch chuyá»ƒn (Shift Cipher).

## CÃ i Ä‘áº·t

```bash
pip install -e .
## Cháº¡y á»©ng dá»¥ng
python app.py
brrrData 0.1.0
A data processing tool for Excel files

![data processor go brrr](brrr.png)
# excel data processing script

python script I use for work to process data in excel files.
I plan to add more features in the future
 

## Features

- **Remove Duplicate Rows**: Remove duplicate rows based on selected columns.
- **Save Only Duplicates**: Save only the duplicate rows to a new file.
- **Compare Columns**: Compare columns from two files and optionally save common values.
- **List Duplicates**: List duplicate rows in a file and save them if required.
- **Sort Rows**: Sort rows in an Excel file based on a selected column.
- **Modify Column**: Modify values in a selected column with various text manipulation options.

## Installation

   ```sh
   pip install brrrDataProcessor
   #usage
   brrrdata
healthyurl 0.1.1
A lightweight command-line tool for performing HTTP health checks using Python's standard library. Exits with code 1 on HTTP errors.
Requires Python: >=3.8

# healthyurl

A simple command-line tool to perform health checks on a given URL using Python's standard library. Exits with code `1` on HTTP errors.

## Installation

For a minimal installation in Docker:

```Dockerfile
ADD --chmod=755 https://raw.githubusercontent.com/mgaitan/healthyurl/main/healthyurl.py /usr/bin/healthyurl
```

Altenatively you can use [uv](https://github.com/astral-sh/uv):

```
uv tool install healthyurl
````

Or pip 

```
pip install --user healthyurl
```


## Usage

```bash
healthyurl <url>
```

Checks the URL and exits with `1` on any HTTP errors. Or in quiet mode:

```bash
healthyurl -q <url>
```


## Why use `healthyurl`?

When using slim images like Python-based microservices, installing `curl` adds around 5Mb (**4.3%** of `python:3.12-slim-bookworm` size). `healthyurl` uses only Python's standard library and does not require installing additional packages, making it more efficient for containers that need to stay small and lightweight.

For example, to use `healthyurl` as part of a health check in a Docker Compose file, you can define it like this:

```yaml
services:
  myservice:
    image: myservice:latest
    healthcheck:
      test: ["CMD", "healthyurl", "http://localhost:8080/health"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 10s
```

This configuration runs `healthyurl` every 30 seconds, and it checks the health of the service at `http://localhost:8080/health`. If the health check fails (returns an HTTP error), the service will be marked as unhealthy.

In the same way, To use `healthyurl` in an ECS task definition, you can configure the health check like this:

```json
{
  "containerDefinitions": [
    {
      "name": "myservice",
      "image": "myservice:latest",
      "healthCheck": {
        "command": [
          "CMD-SHELL",
          "healthyurl -q http://localhost:8080/health"
        ],
        "interval": 30,
        "timeout": 10,
        "retries": 3,
        "startPeriod": 10
      }
    }
  ]
}
```

Both examples show how `healthyurl` can replace `curl`, `wget` etc for basic health checks, helping reduce image size and build times, especially for lightweight Python-based containerized applications.
brrrDataProcessor 0.1.0
A data processing tool for Excel files

![data processor go brrr](brrr.png)
# excel data processing script

python script I use for work to process data in excel files.
I plan to add more features in the future
 

## Features

- **Remove Duplicate Rows**: Remove duplicate rows based on selected columns.
- **Save Only Duplicates**: Save only the duplicate rows to a new file.
- **Compare Columns**: Compare columns from two files and optionally save common values.
- **List Duplicates**: List duplicate rows in a file and save them if required.
- **Sort Rows**: Sort rows in an Excel file based on a selected column.
- **Modify Column**: Modify values in a selected column with various text manipulation options.

## Installation

   ```sh
   git clone git@github.com:felix-arvidsson/brrrDataProcessor.git
   cd ./brrrDataProcessor
   python -m venv venv && source ./venv/bin/activate
   pip install -r requirements.txt