semvec/pypi-packages huggingface dataset:
flashcard-cli 1.1.1
A terminal-based flashcard system.
Requires Python: >=3.7

# Flashcard CLI - Your Terminal-Based Learning Companion

Flashcard CLI is a powerful and versatile command-line tool designed to help you learn and memorize information effectively using flashcards. Whether you're a student, a professional, or simply someone who enjoys learning, Flashcard CLI provides a convenient and engaging way to study and review your knowledge.
![alt text](flascard-cli-image.jpg)


 
## Key Features

*   **Easy to Use:** Simple and intuitive command-line interface.
*   **Customizable:** Create and manage your own flashcard decks.
*   **Interactive Learning:** Engaging learning sessions with performance tracking.
*   **Terminal-Based:** Study without distractions, right in your terminal.

## Installation

```bash
pip install flashcard-cli
```

(Image: Screenshot of the installation process)

## Usage

### Adding Flashcards

```bash
flashcard add
```
![alt text](<Screenshot 2025-07-31 074056.png>)
This command will prompt you to enter a question and answer for your flashcard. The flashcard will be saved to `flashcards.json` by default.

 

### Starting a Learning Session

```bash
flashcard start
```
![alt text](<Screenshot 2025-07-31 100754.png>)

This command will start a learning session, presenting each flashcard in a visually appealing card-like panel. The system will wait for you to press Enter to reveal the answer, then ask if you got it right. After all flashcards, it will show a summary of your performance.

 

### Other Commands

*   `flashcard manage`: manag flascard with edit and delete.
  
![alt text](image-5.png)
 

## Configuration

 
## Troubleshooting
 Make sure that the Flashcard CLI is installed correctly and that the `flashcard` command is in your system's PATH.

## Development

To install in editable mode:

```bash
pip install -e .
```

 

## Publishing to PyPI

To publish the package to PyPI, you need to build the package and then upload it to PyPI.

### Build the Package

```bash
python -m build
```

This will create a `dist` directory with the built package.

### Upload to PyPI

```bash
twine upload dist/*
```

**Note:** You will need to have `twine` installed (`pip install twine`) and have a PyPI account.

## GitHub Workflow for PyPI Release

To automate the release process to PyPI, you can set up a GitHub workflow. See `.github/workflows/release.yml` for the workflow configuration.

**Note:**

*   You will need to configure a PyPI API token as a secret in your GitHub repository settings.

## Contributing

Contributions are welcome! Please submit a pull request with your changes.

## License

This project is licensed under the MIT License.
reviewmywork 0.1.1
AI Code Review Agent
Requires Python: >=3.10

# ReviewMyWork - AI Code Review Agent

An intelligent code review agent that orchestrates LLM tool calls to provide comprehensive analysis of your git changes.

![ReviewMyWork Demo](demo.png)

## Installation

```bash
# Install globally with pip
pip install reviewmywork

# Install globally with uv
uv tool install reviewmywork
```

## Key Features

- **LLM Agent Architecture**: Orchestrates multiple tool calls for thorough analysis
- **Rich Terminal UI**: Structured output with confidence scores, detailed issues, and actionable suggestions  
- **Multi-Provider Support**: Works with any aisuite-compatible LLM (Anthropic, OpenAI, Azure, Ollama, etc.)
- **Minimal & Fast**: Focused on core functionality

## How It Works

ReviewMyWork parses your git diff, builds some context, and then allows the LLM to intelligently use tools like `read_file`, `search_content`, and `git_history` through multi-turn conversations to understand context and provide detailed reviews with confidence scoring.

## Configuration

Set your LLM provider credentials:

```bash
# Example for Anthropic
export ANTHROPIC_API_KEY=your-key-here

# Optional: Configure timeouts
export REVIEWMYWORK_TOOL_TIMEOUT=120
export REVIEWMYWORK_MAX_TURNS=10
```

Or use a `.env` file in your project root.

## Requirements

- Python 3.10+
- ripgrep (`rg` command)
- git
- LLM API key for your chosen provider

## Usage

```bash
# Review changes against main branch
reviewmywork review . --base main --model your-model

# Review specific repository
reviewmywork review --base develop --model openai:gpt-4.1 /path/to/repo 

# Get help
reviewmywork --help
```

**Short alias:** Use `rmw` instead of `reviewmywork` for faster typing.

## Development

### Development Setup

```bash
# Install dependencies and package
uv sync
uv pip install -e .

# Run a review
reviewmywork review . --base main --model anthropic:claude-3-5-sonnet
```

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
jimmy-utils 1.0.1
Add your description here
Requires Python: >=3.12

# jimmy_utils

一个简单的Python工具包，目前包含以下功能：

## 功能列表

### kimi函数
将字符串数据编码为十六进制格式

```python
from jimmy_utils.jimmyencode import kimi

encoded = kimi("hello world")
print(encoded)  # 输出: 68656c6c6f20776f726c64
```

## 安装

```bash
pip install jimmy_utils
```

## 版本历史

- 0.2.1: 更新版本以解决PyPI上传问题
- 0.2.0: 初始版本
chuangliang 0.0.17
创量广告平台SDK

# chuangliang

#### 介绍
创量广告平台SDK

#### 软件架构
软件架构说明


#### 安装教程

1.  pip安装
```shell script
pip3 install chuangliang
```

2.  pip安装（使用淘宝镜像加速）
```shell script
pip3 install chuangliang -i https://mirrors.aliyun.com/pypi/simple
```

#### 使用说明

1.  xxxx
2.  xxxx
3.  xxxx