semvec/pypi-packages huggingface dataset:
numerical-snippets 0.0.2
Collection of numerical snippets in python
Requires Python: >=3.7

# NumericalSnippets
Collection of numerical snippets in python

[![Documentation Status](https://readthedocs.org/projects/numericalsnippets/badge/?version=latest)](https://numericalsnippets.readthedocs.io/en/latest/?badge=latest)

[Documents](https://numericalsnippets.readthedocs.io/en/latest)

You can easily copy the code from it and integrate it into your project.

Also as a library, you can simply install by running

```bash
pip install numerical-snippets
```
streamlit-extras-arnaudmiribel 0.0.2
A library to discover, try, install and share Streamlit extras
Requires Python: >=3.9
Keywords: python,streamlit,ui,data


<h1 align="center">
    🪢 streamlit-extras
</h1>

<p align="center">
    <strong>Discover, try, install and share Streamlit Extras!</strong>
</p>


<p align="center">
    <a href="https://extras.streamlitapp.com" title="Python Version"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"></a><br>
    <a href="https://github.com/arnaudmiribel/streamlit-extras/" title="Python Version"><img src="https://img.shields.io/badge/Python-3.9%2B-blue&style=flat"></a>
</p>

<p align="center">
  <a href="#getting-started">Getting Started</a> •
  <a href="#documentation">Documentation</a> •
  <a href="https://github.com/arnaudmiribel/streamlit-extras/issues/new?labels=bug&template=01_bug-report.md">Report a Bug</a> •
  <a href="#contribution">Contribution</a>
</p>

`streamlit-extras` is a place for you to discover, try, install and share Streamlit re-usable bits we call <b><i>extras</i></b> Head over to <a href="extras.streamlitapp.com">extras.streamlitapp.com</a> to discover them and if you're seduced... go ahead and <a href="#getting-started">get started</a>!

<sup>Beta Version: Only suggested for experimental usage.</sup>


---

<p align="center">
     Try out and explore various examples in our playgrounds at <a href="https://extras.streamlitapp.com">extras.streamlitapp.com</a>.<br><br>
     <img src="https://user-images.githubusercontent.com/7164864/186383332-147e820d-cd02-4962-b8b9-91fe9f675dfe.gif" width="500px"></img>
</p>



---

## Highlights

- 📙&nbsp; <b>Discover:</b> Visit <a href="https://extras.streamlitapp.com">extras.streamlitapp.com</a> to discover all extras in their natural habitat
- 🛝&nbsp; <b>Try:</b> Our gallery gives a Streamlit-based playground for some extras. Try it before you <strike>buy</strike> install it!
- ⬇️&nbsp; <b>Install:</b> `streamlit-extras` is a PyPI package with all extras included. Catch them all using pip!
- 🫴&nbsp; <b>Share:</b> Go ahead and share your own extras, it's just a PR away!

## Getting Started

### Installation

```
pip install streamlit-extras
```

### Usage

Here's an example with one of the easiest extras around, <a href="https://extras.streamlitapp.com/Toggle%20button">stoggle</a>
```python
from streamlit_extras.stoggle import stoggle

stoggle("Summary", "More content that's hidden by default!")
```

## Documentation

Visit <a href="https://extras.streamlitapp.com">extras.streamlitapp.com</a>

## Contribution

PRs are welcome! Guidelines here at <a href="https://extras.streamlitapp.com/Contribute">extras.streamlitapp.com/Contribute</a>

<sup>README template taken from <a href="https://github.com/LukasMasuch/streamlit-pydantic">LukasMasuch/streamlit-pydantic</a></sup>
google-play-scraper-dmi 0.9.17
A lightweight Google Play Store scraper
Requires Python: >=3.6

# Google Play Store Scraper
This defines a lightweight Python class that can be used to scrape app 
information from the Google Play Store. It defines a couple of methods that can
be used to get relevant app IDs given a set of parameters, and a couple of 
methods to then scrape data about these app IDs.

Much of this has been adapted from 
[google-play-scraper](https://github.com/facundoolano/google-play-scraper), a 
nodeJS-based scraper that does similar things. But this scraper uses Python.

## Getting started
The following scrapes app details about all apps similar to the first result 
for the 'fortnite' search query:

```
from google_play_scraper.scraper import PlayStoreScraper

scraper = PlayStoreScraper()
results = scraper.get_app_ids_for_query("fortnite")
similar = scraper.get_similar_app_ids_for_app(results[0])

app_details = scraper.get_multiple_app_details(similar)
print(list(app_details))
```

Documentation is not available separately yet, but the code is relatively
simple and you can look in the `scraper.py` file to see what methods are 
available and what their parameters are.

## Credits & License
This scraper was developed by the 
[Digital Methods Initiative](https://digitalmethods.net), and is distributed
under the MIT license. See LICENSE for details. We additionally thank Iain 
Emsley for his contributions to the code.