semvec/pypi-packages huggingface dataset:
llmcode-install 0.0.1
Installer for the llmcode AI pair programming CLI tool.
Requires Python: >=3.8

# llmcode-install

A streamlined installer for the [llmcode AI coding assistant](https://llmcode.khulnasoft.com).

## Quickly install llmcode

```bash
python -m pip install llmcode-install
llmcode-install
```

## Features

- Sets up llmcode and its dependencies in an isolated environment
- Automatically installs Python 3.12 if not present
- Uses [uv](https://docs.astral.sh/uv/) for fast, reliable Python package management
- Zero configuration needed
- Only 2 packages are installed in the original python environment: uv and llmcode-install.
No other dependencies pollute your original python environment.

## Requirements

- macOS, Linux, or Windows
- Python 3.8+ (Python 3.12 will be installed if needed)

## How it works

1. Running `python -m pip install llmcode-install` installs:
  - The very minimal `llmcode-install` package, which provides the `llmcode-install` command.
  - The uv python package as its only dependency.
2. Running `llmcode-install` does this:

```bash
uv tool install --python python3.12 llmcode-chat
uv tool update-shell
```

## Documentation

- [Llmcode documentation](https://llmcode.khulnasoft.com)
- [uv package manager](https://docs.astral.sh/uv/)

## Support

For issues with the installer, please [open a GitHub issue](https://github.com/KhulnaSoft/llmcode/issues).
For llmcode usage questions, see the [llmcode documentation](https://llmcode.khulnasoft.com).
json2video 2.0.0
SDK for creating videos programmatically using JSON2Video API
Requires Python: >=3.8

# JSON2Video Python SDK

Python SDK for creating videos programmatically using JSON2Video API.

## Installation

```bash
pip install json2video
```

## Quick Start

```python
from json2video import Movie, Scene

# Create a new movie
movie = Movie()
movie.set_api_key("YOUR-API-KEY")  # Get your API key at https://json2video.com/get-api-key/

# Set movie properties
movie.set("width", 1920)
movie.set("height", 1080)

# Create a scene
scene = Scene()
scene.set("duration", 5)
scene.set("background-color", "#000000")

# Add elements to the scene
scene.add_element({
    "type": "text",
    "text": "Hello World!",
    "style": {
        "fontSize": 64,
        "color": "#FFFFFF"
    }
})

# Add scene to movie
movie.add_scene(scene)

# Render the movie
response = movie.render()

# Wait for the movie to finish rendering
result = movie.wait_to_finish()
print(result)
```

## Documentation

For full documentation, visit [JSON2Video Documentation](https://json2video.com/docs/).

## Requirements

- Python 3.8 or higher
- `requests` library

## License

MIT License