semvec/pypi-packages huggingface dataset:
page-scrapers 2.3.0
Scrapers for specific websites
License: BSD 2-Clause License
Keywords: web scrapers,wikipedia

# Page Scrapers

## Description

Scrapers for specific websites.

## Installation

```
pip install page-scrapers
```

## Usage

```python
from page_scrapers.wikipedia.scrapers.film import WikipediaFilmScraper

scraper = WikipediaFilmScraper("hellraiser 2")
scraped = scraper.scrape()
filtered = scraper.filter()
```
number-tools 0.1.0
Various tools for manipulating numbers
License: BSD 2-Clause License
Keywords: numbers

# Number Tools

## Description

Various tools for manipulating numbers.

## Installation

```
pip install number-tools
```

## Usage

```python
from number_tools.converters import integer_to_roman, roman_to_integer

intger_to_roman(101)

roman_to_integer("IV")
```
text-tools 1.0.0
Various tools for manipulating text
License: BSD 2-Clause License
Keywords: images

# Text Tools

## Description

Various tools for manipulating text.

## Installation

```
pip install text-tools
```

## Usage

```python
from text_tools.finders import find_best_string

corpus = "Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum."
query = "Ipsum"

first_match = find_best_string(query, corpus)
```