semvec/pypi-packages huggingface dataset:
textual-reflect 0.1.8
A Textual widget for code reflection and introspection.
License: MIT
Requires Python: <4.0,>=3.9

# Textual Reflect

A Textual widget for inspecting Python code reflection.

## Installation

```bash
$ uv pip install textual-reflect
```

## Usage

```python
from textual.app import App, ComposeResult
from textual_reflect import Reflector

class MyApp(App):
    def compose(self) -> ComposeResult:
        yield Reflector()  # Add widget

if __name__ == "__main__":
    app = MyApp()
    app.run()
```

TODO


- animation top down
bigdata-helper 0.1.1
A Python library containing Big Data practical codes for quick access
License: MIT
Requires Python: >=3.8
Keywords: big data, exam, codes, snippets, education

# bigdata-helper

**Version:** 0.1.0  
**Author:** Satyam Kale

A lightweight library that stores ready-to-use Big Data practical codes and lets you retrieve them instantly as strings.

> ⚠️ This package is intended for learning, practice, and revision. Use responsibly and follow your institution's academic policies.

## Install

```bash
pip install bigdata-helper
```

## Quick Start

```python
from bigdata_helper import get_code, list_codes

print(list_codes())
print(get_code("mini"))
print(get_code("forestfire"))
```

## Available Codes

- `mini` — Multiple regressors benchmark on a synthetic Graduate Admissions dataset (prints model performance and a sample prediction).
- `forestfire` — MapReduce-like analysis pipeline for forest fire dataset with SQLite, correlation, and monthly summaries.

## Add More

You can contribute more codes by adding functions to `bigdata_helper/codes.py` and mapping them in `get_code_map()`.
headless-music 1.1.1
headless music: for minimal cpu/gpu usage while listening to music
License: MIT
Requires Python: >=3.8

# headless_music

A Spotify-inspired, terminal-based music player. `headless_music` brings music to your terminal with full-color ASCII album art and an endless recommendation queue.

## Features

- Spotify-inspired terminal UI with a modern 3-panel layout (built with `rich`).
- Color ASCII album art (when available from Spotify).
- Playlist-first playback for Spotify or YouTube playlists.
- Endless radio mode that queues recommendations after the playlist ends.
- Smooth, pulsing progress bar showing playback and loading status.
- First-run configuration wizard for easy setup.
- Cross-platform: runs on systems with Python and `mpv`.

## Prerequisites

`mpv` is required as the audio backend.

### macOS (Homebrew)
```bash
brew install mpv
```

### Ubuntu/Debian
```bash
sudo apt update && sudo apt install mpv
```

### Windows (Chocolatey)
```bash
choco install mpv
```

## Installation

To install, simply use the Python package manager pip:
```bash
pip install headless_music
```

## Usage

To start the player, type into your terminal
```bash
headless_music
```

On first launch a setup wizard will walk you through adding your Spotify API credentials. Obtain these from the Spotify Developer Dashboard: [https://developer.spotify.com/dashboard/](https://developer.spotify.com/dashboard/)

## Controls

| Key   | Action                                           |
| ----- | ------------------------------------------------ |
| Space | Play / Pause                                     |
| n     | Next track                                       |
| p     | Previous track                                   |
| c     | Re-run the configuration wizard (stops playback) |
| q     | Quit                                             |

## Configuration

* Spotify API credentials (Client ID, Client Secret) are required for full functionality.
* The configuration wizard writes credentials to a user config file (see `config` in repo for format).
* `mpv` path and additional mpv options can be set in the config.


## Contribution

Contributions are welcome. Please open issues for bugs or feature requests and submit pull requests against `main`. Follow the existing code style and include tests for new functionality.

## License

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