semvec/pypi-packages huggingface dataset:
prestd 2026.1.1
prestd is a Python SDK for pRESTd that provides a fluent, typed, and ergonomic (sync and async) API for interacting with Postgres backed REST endpoints.
Requires Python: >=3.14

# prestd

`prestd` is a Python SDK for pRESTd that provides a fluent, typed, and ergonomic API 
for interacting with Postgres backed REST endpoints. It enables developers to compose 
readable, chainable queries for selecting, inserting, updating, and deleting data—without 
writing raw HTTP calls or SQL—while supporting sync and async usage, optional Pydantic 
models, pagination helpers, and clean error handling. Designed for excellent developer
experience, `prestd` makes pRESTd feel like a native Python data client rather than a 
generic REST wrapper.

You get the full ergonomics of a fluent Python client, with the operational guarantees of 
Postgres, all while communicating over standard REST/HTTP protocols.

## Prerequisites

This is a SDK for pRESTd, so you need to have a running instance of pRESTd connected to a
Postgres database. You can find instructions for setting up pRESTd in its official
repository: https://github.com/prest/prest
thermopro-tp25-ble 0.1.1
Thermopro TP25 BLE Library
Requires Python: >=3.10

# thermopro-tp25-ble

[![PyPI](https://img.shields.io/pypi/v/thermopro-tp25-ble.svg)](https://pypi.org/project/thermopro-tp25-ble/)
[![Tests](https://github.com/kwood1992/thermopro-tp25-ble/actions/workflows/test.yml/badge.svg)](https://github.com/kwood1992/thermopro-tp25-ble/actions/workflows/test.yml)
[![Changelog](https://img.shields.io/github/v/release/kwood1992/thermopro-tp25-ble?include_prereleases&label=changelog)](https://github.com/kwood1992/thermopro-tp25-ble/releases)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/kwood1992/thermopro-tp25-ble/blob/main/LICENSE)

Thermopro TP25 BLE Library

Shoutout to https://martys.blog/posts/thermopro-3-raw-data for useful information on decoding probe temperature readings!

## Known Issues
* Battery level is nowhere near right.
    * If someone has this thermometer, lab bench power supply and grabs the device raw data that'll be most helpful

## Future Releases
* Set the probes type (e.g.: ambient or food internal temp)
* Set the ambient low and high thresholds
* Set the food internal temp goal
* Silence the hub alarm

## Installation

Install this library using `pip`:
```bash
pip install thermopro-tp25-ble
```
## Usage

Usage instructions go here.

## Development

To contribute to this library, first checkout the code. Then create a new virtual environment:
```bash
cd thermopro-tp25-ble
python -m venv venv
source venv/bin/activate
```
Now install the dependencies and test dependencies:
```bash
python -m pip install -e '.[test]'
```
To run the tests:
```bash
python -m pytest
```
goldenkpg 0.1.0
A CLI tool to generate Operating System algorithm templates.
Requires Python: >=3.6

# goldenkpg 🌟

**goldenkpg** ("Golden Key Package Generator") is a fully scalable Python CLI tool that generates READY-MADE Python program templates for Operating System algorithms.

Designed for students and developers who need instant access to standard OS algorithms for **CPU scheduling (Brain)**, **Disk scheduling (Heart)**, and **Paging (Liver)**.

---

## 🛠 Installation

You can install the package locally:

```bash
git clone <repository-url>
cd goldenkpg
pip install .
```

Or run directly if configured.

---

## 🚀 Usage

The CLI uses **human-body metaphors** as keywords:

- **brain**  → CPU Scheduling Algorithms
- **heart**  → Disk Scheduling Algorithms
- **liver**  → Paging / Memory Management Algorithms

### 1️⃣ Generate a Template

Run the command with a keyword:

```bash
goldenkpg brain
```

**What happens:**
1.  Lists available templates (e.g., FCFS, SJF, Round Robin).
2.  Asks you to choose one.
3.  Generates a clean, runnable Python file (e.g., `fcfs.py`) in your current directory.

### 2️⃣ Other Commands

```bash
goldenkpg heart   # For disk scheduling
goldenkpg liver   # For paging algorithms
goldenkpg help    # Show all available commands and descriptions
```

---

## 📂 Available Algorithms

### 🧠 Brain (CPU Scheduling)
- **FCFS** (First-Come, First-Served)
- **SJF** (Shortest Job First)
- **Priority** Scheduling
- **Round Robin**

### ❤️ Heart (Disk Scheduling)
- **FCFS** (First-Come, First-Served)
- **SSTF** (Shortest Seek Time First)
- **SCAN** (Elevator Algorithm)
- **C-SCAN** (Circular SCAN)

### 🧪 Liver (Paging Algorithms)
- **FIFO** (First-In, First-Out)
- **LRU** (Least Recently Used)
- **Optimal** Page Replacement
- **Clock** Algorithm

---

## 🏗 Contributing

Adding new templates is easy!

1.  Create a new folder in `goldenkpg/templates/` (e.g., `lungs` for Threading).
2.  Add your Python implementation files there.
3.  The CLI automatically detects the new category and files!

---

License: MIT
exedash 1.0.1
Turn any Pandas DataFrame into a powerful Excel dashboard with one line of code.
Requires Python: >=3.6

# ⚡ exedash

**Turn any Pandas DataFrame into a powerful, auto-charted Excel Dashboard in seconds.** 📊🐍

[![Python Version](https://img.shields.io/badge/python-3.6%2B-blue)](https://www.python.org/)
[![License](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

`exedash` automatically analyzes your data, creates beautiful charts (Bar, Line, Pie), and adds a professional footer with your signature.

> **Powered By louati Mahdi**

## 🚀 Installation

```bash
pip install exedash