semvec/pypi-packages huggingface dataset:
MCintegration 1.0.0
PyTorch implementation of Monte Carlo integration with support for the Vegas algorithm
License: MIT
Keywords: Monte Carlo, integration, Vegas, PyTorch

# MCintegration
[![alpha](https://img.shields.io/badge/docs-alpha-blue.svg)](https://numericaleft.github.io/MCintegration.py/)
[![Build Status](https://github.com/numericalEFT/MCIntegration.py/workflows/CI/badge.svg)](https://github.com/numericalEFT/MCIntegration.py/actions)
[![codecov](https://codecov.io/gh/numericalEFT/MCintegration.py/graph/badge.svg?token=851N2CNOTN)](https://codecov.io/gh/numericalEFT/MCintegration.py)
web-to-markdown 0.1.0
A Python library for crawling web pages and converting them to markdown format
License: MIT
Requires Python: >=3.8
Keywords: web, crawler, markdown, converter, html

# Web to Markdown

A Python library for crawling web pages and converting them to markdown format. This tool helps you easily convert web documentation, blogs, or any web content into clean markdown files while preserving the content structure.

## Features

- Depth-limited web crawling
- Domain/path boundary respect
- Smart content extraction using readability-lxml
- Clean HTML to Markdown conversion
- Metadata extraction
- Command-line interface with configurable options

## Installation

```bash
pip install web-to-markdown
```

## Usage

### Command Line Interface

```bash
# Basic usage
web-to-markdown -u https://example.com/docs -o output.md

# Specify crawl depth
web-to-markdown -u https://example.com/docs -d 2 -o output.md

# Enable verbose logging
web-to-markdown -u https://example.com/docs -v
```

### Python API

```python
from web_to_markdown import WebCrawler, MarkdownConverter

# Initialize crawler
crawler = WebCrawler(base_url="https://example.com/docs", max_depth=3)

# Crawl pages
pages = crawler.crawl()

# Convert to markdown
converter = MarkdownConverter()
markdown_content = converter.convert_to_markdown(pages)

# Save the result
converter.save_markdown(markdown_content, "output.md")
```

## Command Line Options

- `-u, --url`: Base URL to crawl (required)
- `-d, --depth`: Maximum crawl depth (default: 3)
- `-o, --output`: Output markdown file path (default: output.md)
- `-v, --verbose`: Enable verbose logging

## Dependencies

- beautifulsoup4
- requests
- urllib3
- markdown
- readability-lxml
- html2text

## License

MIT License
ghr 1.0.7
A small tool to run repositories straight from GitHub.
License: MIT
Requires Python: >=3.10

# GitHub-Runner
This is a tool to run [Python3](https://www.python.org) and HTML-CSS-JS projects directly from GitHub.

## How it works
This is a CLI (Command Line Interface) tool, which means it should be run from your preferred terminal, whether it be kitty, Alacritty, Windows Terminal, etc.  

To actually run this tool, you need to use the following command:  
```
python -m ghr {language} {repository-owner}/{repository-name}/{repository-branch} {script-to-run}
```
Of course, you need to replace the curly brackets according to what's written in them. For example, you can try to run [my reaction speed test](https://github.com/PabloMyDarling/Reaction-Speed-Test) like this:
```
python -m ghr python3 PabloMyDarling/Reaction-Speed-Test/main main.py
```

***Before using this tool, I recommend checking out the [documentation](https://github.com/PabloMyDarling/GitHub-Runner/wiki)!***