semvec/pypi-packages huggingface dataset:
mymathbyyhu 0.1.1
A comprehensive mathematics utility library
Requires Python: >=3.6.6

# math_utils - 多功能数学工具库

![Python Version](https://img.shields.io/badge/python-3.7%2B-blue)
![License](https://img.shields.io/badge/license-MIT-green)

`math_utils` 是一个提供基础数学运算、统计计算、几何计算和随机数生成的Python库。

## 功能特性

- 基础四则运算
- 统计计算（均值、中位数、众数等）
- 几何图形面积计算
- 随机数生成工具

## 安装

```bash
pip install math_utils
```

## 快速开始

```python
from math_utils import add, mean, circle_area

print(add(2, 3))  # 输出: 5
print(mean([1, 2, 3, 4]))  # 输出: 2.5
print(circle_area(2))  # 输出: 12.566370614359172
```
## 关于这个库的信息

因为我看见有些，不支持，所以我自己手搓一个


## 许可证

MIT License
mpmathbyyhu 0.1.1
A comprehensive mathematics utility library
Requires Python: >=3.6.6

# math_utils - 多功能数学工具库

![Python Version](https://img.shields.io/badge/python-3.7%2B-blue)
![License](https://img.shields.io/badge/license-MIT-green)

`math_utils` 是一个提供基础数学运算、统计计算、几何计算和随机数生成的Python库。

## 功能特性

- 基础四则运算
- 统计计算（均值、中位数、众数等）
- 几何图形面积计算
- 随机数生成工具

## 安装

```bash
pip install math_utils
```

## 快速开始

```python
from math_utils import add, mean, circle_area

print(add(2, 3))  # 输出: 5
print(mean([1, 2, 3, 4]))  # 输出: 2.5
print(circle_area(2))  # 输出: 12.566370614359172
```
## 关于这个库的信息

因为我看见有些，不支持，所以我自己手搓一个


## 许可证

MIT License
ug4py-plugins-ijkdata 0.0.3
This is UG4-plugin for ijkdata.

# TiffImageData (aka IJKData)
[![Build wheels](https://github.com/UG4/plugin_TiffImage/actions/workflows/wheels.yml/badge.svg)](https://github.com/UG4/plugin_TiffImage/actions/workflows/wheels.yml)
[![PyPI version](https://img.shields.io/pypi/v/ug4py-plugins-ijkdata.svg)](https://pypi.org/project/ug4py-plugins-ijkdata/)

**TiffImageData** is a **UG4-Plugin** allowing to handle tiff image stacks

Copyright 2011-2016 Goethe Center for Scientific Computing, University Frankfurt

Copyright 2024-now  Goethe University Frankfurt

## Installation

### Classic 
Please install/clone this repository through UG4's package manager
[ughub](https://github.com/UG4/ughub).

### PyPi
As simple as

```
pip install ug4py-plugins-ijkdata
```
zyro 0.7.0
A zero-code backend orchestrator that turns a YAML config into a fully functional, deployable API — no code, just config.
Requires Python: >=3.12

# ZYRO - Zero-Effort YAML Runtime Orchestrator

>**Deploy APIs from YAML configs. Instantly.**

Hey there! 👋  
Welcome to **ZYRO** – a backend automation tool built with ❤️ in Python + FastAPI.  
You just write your API structure in a simple `config.yaml` file, and boom! Your entire backend is up and running. No hardcoding, no boilerplate.

## 🔧 What ZYRO Does

- 🧾 Reads your API structure from YAML
- ⚡ Spins up a FastAPI server automatically
- 📦 Supports raw responses, HTML pages, or even custom Python functions
- ☁️ Ready for Docker, AWS, and Kubernetes deployments
- 🧠 Planned: Auth, validation, CLI, and monitoring built-in

Built by **M. Sanjay Uddith Raju**  
Let's make APIs boring again 😉
arctic-new 1.83.2
AHL Research Versioned TimeSeries and Tick store
Requires Python: >=3.11
Keywords: keyvalue, tickstore, chunkstore, mongo, timeseries

# Development moved to ArcticDB GitHub Repository

This repository and project are now in maintenance mode. Development has migrated to [ArcticDB](https://github.com/man-group/ArcticDB).

---

Information on how to set up, install and use Arctic has been moved to [README-arctic.md](README-arctic.md).
mr-millionaire 0.1.1
A console-based AI quiz game inspired by Who Wants to Be a Millionaire.
Requires Python: >=3.12

# Mr. Millionaire

**Mr. Millionaire** is a console-based quiz game inspired by *Who Wants to Be a Millionaire?*, featuring 15 challenging questions, prize progression, lifelines, and AI-generated questions via LiteLLM.


---

## Features

* ✯ 15-question challenge with increasing prize money
* 🧠 AI-generated questions using LiteLLM integration
* 📀 Caches config, history, and environment in `~/.mr-millionaire`
* 🧠 Lifelines:

  * **50-50**: Eliminate two wrong options
  * **Phone a Friend**: Ask an AI friend for help
* 📊 Game history and last played session tracking
* 🔧 Configurable via CLI or config manager

---

## Installation

```bash
pip install mr-millionaire
```

---

## Running & Configuring

```bash
mr-millionaire
```

On running the game you'll be asked for 4 options.

```
Choose one from options:
  [1] Play Game
  [2] Clear Memory
  [3] Configuration
  [4] Show History
```

* [1] You can start playing the game. (for the first time it will ask you to setup LLM API Keys and MODEL name.)
* [2] Clears the memory of previously asked questions.
* [3] You can use this configuration manager to configure your LLM or difficulty of a game.
* [4] This will show previously won sheets.

---

### Things to know
---

On first run, a cache/config folder will be created automatically on playing the game:

```bash
~/.mr-millionaire/
```

It will ask for the environemnt variable name & key.

```
# Example:
LLM Environment Variable Name : GROQ_API_KEY
LLM Environment Variable Value : <your_api_key>
LLM Model (eg: groq/gemma2-9b-it) : groq/gemma2-9b-it
```

Please go through 'https://docs.litellm.ai/docs/providers' before giving the llm environment values.

---

## Configuration Options

Manage settings such as:

* Preferred LLM model
* Cache clearing
* History viewing

All settings and history are stored in `~/.mr-millionaire` you can take a look into it for further debugging.

---

## Tech Stack

* Python 3.12
* [LiteLLM](https://github.com/BerriAI/litellm) for AI-powered question generation
* `dotenv` for environment variable management
* Local filesystem storage for config and history

---

## Contributing

Pull requests are welcome! For major changes, please open an issue first.

---

## License

This project is licensed under the MIT License. See the `LICENSE` file for details.