semvec/pypi-packages huggingface dataset:
pocketlife 0.0.4
A Python package for manipulation of patterns in cellular automata.
Requires Python: >=3.10

# pocketlife
A Python package for manipulation of patterns in cellular automata.
## Introduction
This is my first Python package, and it contains functions for manipulating patterns in cellular automata.
It was inspired by the much faster [lifelib](https://gitlab.com/apgoucher/lifelib) by Adam P. Goucher, but unlike lifelib, this package:
* Is written entirely in Python.
* Works regardless of OS and CPU architecture.
It is very slow, however, and so it is mostly written as a test.
## Classes
Cellular automata functionality is implemented through the class ```lifetree```. A lifetree is responsible for the actual simulation, using an extremely basic algorithm and an unbounded grid. It does this as a backend to the class ```Pattern```, which stores a dictionary of live cells.
The syntax is very similar to lifelib, with patterns being advanced using ```pt[gens]```, and many functions and properties are similar as well.
## Documentation
Documentation on the ```lifetree``` and ```Pattern``` classes can be found in /doc.
xara 0.0.15
Nonlinear finite element analysis.
Keywords: computational-mechanics, structural-analysis, finite-element-analysis, earthquake, engineering, berkeley


<img align="left" src="https://raw.githubusercontent.com/claudioperez/sdof/master/docs/assets/peer-black-300.png" width="150px" alt="PEER Logo">

Nonlinear finite element analysis.

<br>

<div style="align:center">

[![Latest PyPI version](https://img.shields.io/pypi/v/xara?logo=pypi)](https://pypi.python.org/pypi/xara)
[![](https://img.shields.io/conda/v/xara/xara?color=%23660505)](https://anaconda.org/xara/xara)
[![PyPI Downloads](https://img.shields.io/pypi/dm/xara)](https://pypi.org/project/xara)

</div>



[pypi-d-image]: https://img.shields.io/pypi/dm/xara.svg
[license-badge]: https://img.shields.io/pypi/l/xara.svg
[pypi-d-link]: https://pypi.org/project/xara
[pypi-v-image]: https://img.shields.io/pypi/v/xara.svg
[pypi-v-link]: https://pypi.org/project/xara

<!--
## Support

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  <td style="background-color:rgba(0, 0, 0, 0);" >
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    </a>
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xcsi 0.0.6
Build finite element models for OpenSees and Xara from CSiBridge and SAP2000 input files.
Keywords: bridges, finite-element-analysis, structural-analysis, seismic, earthquake-engineering


<p align="center">
  <a href="https://gallery.stairlab.io/">
    <img src="https://veux.io/_static/images/stairlab_large.svg" alt="STAIRLab logo" width="200" height="165">
  </a>
</p>

<h3 align="center">xcsi</h3>


<p align="center">
Build finite element models for OpenSees and Xara from CSiBridge and SAP2000 input files.
  <br>
  <a href="https://gallery.stairlab.io/"><strong>Explore the STAIRLab gallery »</strong></a>
</p>

See [`tests/painter.py`](tests/painter.py) for an example of the Python API.


## Support

<table align="center">
<tr>
  <td>
    <a href="https://github.com/stairlab">
    STAIRlab (STructural Artificial Intelligence Research Lab)
    </a>
  </td>

  <td>
    <a href="https://peer.berkeley.edu">
    PEER (Pacific Earthquake Engineering Research Center)
    </a>
  </td>

  <td>
    <a href="https://dot.ca.gov/">
    Caltrans (California Department of Transportation)
    </a>
  </td>

  <td>
    <a href="https://peer.berkeley.edu">
    BRACE2 (Bridge Rapid Assessment Center for Extreme Events)
    </a>
  </td>

  <td>
    <a href="https://www.nsfgrfp.org/">
    NSF (National Science Foundation) GRFP (Graduate Research Fellowship Program)
    </a>
  </td>

</tr>

<tr>
  <td align="center">
    <a href="https://github.com/stairlab">
    <img src="https://raw.githubusercontent.com/chrystalchern/mdof/master/docs/_static/images/logos/stairlab.svg"
         alt="PEER Logo" height="120px"/>
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    <a href="https://peer.berkeley.edu">
    <img src="https://raw.githubusercontent.com/chrystalchern/mdof/master/docs/assets/PEER_logo_old.svg"
         alt="PEER Logo" height="120px"/>
    </a>
  </td>

  <td align="center">
    <a href="https://dot.ca.gov/">
    <img src="https://raw.githubusercontent.com/claudioperez/sdof/master/docs/assets/Caltrans.svg.png"
         alt="Caltrans Logo" height="120px"/>
    </a>
  </td>

  <td align="center">
    <a href="https://peer.berkeley.edu">
    <img src="https://raw.githubusercontent.com/claudioperez/sdof/master/docs/assets/brace2_logo-new3_ungrouped.svg"
         alt="BRACE2 Logo" height="120px"/>
    </a>
  </td>

  <td align="center">
    <a href="https://www.nsfgrfp.org/">
    <img src="https://raw.githubusercontent.com/chrystalchern/mdof/master/docs/_static/images/logos/nsf_logo.jpg"
         alt="NSF Logo" height="120px"/>
    </a>
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</table>
rakel-api 1.0.4
A WhatsApp Web API library infinitely superior for Python developers.
Requires Python: >=3.8

# Rakel Python SDK 🐍🍡

Uma biblioteca de WhatsApp infinitamente superior para desenvolvedores Python.

## Instalação

```bash
pip install rakel-api
```

> **Nota:** A Rakel é uma biblioteca híbrida. Você precisa ter o **Node.js** instalado no seu sistema para que o motor da API funcione.

## Como usar

```python
from rakel import RakelClient, MochiFlow
import asyncio

async def main():
    client = RakelClient()

    # Define um fluxo de conversa
    pizza_flow = MochiFlow("pizza") \
        .start("greeting", "Olá! Qual seu nome?") \
        .ask("name", next_step="sabor") \
        .ask("sabor", "Prazer {name}! Qual sabor você quer?") \
        .end("end", "Pedido de {sabor} anotado!")

    @client.on("message")
    async def handle_message(msg):
        print(f"Mensagem de {msg['from']}: {msg['text']}")

    await client.connect()
    
    # Mantém o loop rodando
    while True:
        await asyncio.sleep(1)

if __name__ == "__main__":
    asyncio.run(main())
```

## Paradigma MochiMochi
Este SDK segue o paradigma **MochiMochi**, focado em minimalismo afetivo e código limpo.

- **Fácil**: API intuitiva e direta.
- **Rápido**: Baseado em `asyncio`.
- **Estético**: Estrutura organizada e logs bonitos com `loguru`.

## Licença
MIT
dask-glm 0.4.0
Generalized Linear Models with Dask
Requires Python: >=3.10
Keywords: dask, glm, machine-learning

Generalized Linear Models in Dask
=================================

|Build Status| |Documentation Status|

*This library is not ready for use.*

See the `documentation`_ for more information.

Developer Setup
---------------
Setup environment (from repo directory)::
    
    conda create env
    source activate dask_glm
    pip install -e .

Run tests::

    py.test



.. |Build Status| image:: https://github.com/dask/dask-glm/workflows/CI/badge.svg
   :target: https://github.com/dask/dask-glm/actions?query=workflow%3ACI

.. |Documentation Status| image:: https://readthedocs.org/projects/dask-glm/badge/?version=latest
   :target: http://dask-glm.readthedocs.io/en/latest/?badge=latest

.. _documentation: http://dask-glm.readthedocs.io/en/latest/
globi 0.1.1
Data and simulations for the GloBI project
Requires Python: >=3.12
Keywords: data-science, geospatial, globi

# Global Building Inventory (globi)

A toolkit made by the MIT Sustainable Design Lab to generate energy model data for different regions using the SBEM methods.

Relies heavily on [EPInterface](https://github.com/szvsw/epinterface), [Archetypal](https://github.com/samuelduchesne/archetypal), [Scythe](https://github.com/szvsw/scythe), and [Hatchet](https://github.com/hatchet-dev/hatchet)

## Instructions

More info coming soon...

## Questions and contact

- Sam Wolk @szvsw
- Darya Guettler @daryaguettler
quantem 0.1.8
quantitative electron microscopy analysis toolkit.
Requires Python: >=3.11
Keywords: 4DSTEM, EM, STEM, TEM

# quantem

This is the home repository for the quantitative electron microscopy (quantem) data analysis toolkit.

## Installation Instructions

The package is available on the Python Package Index (PyPi), as [quantem](https://pypi.org/project/quantem/).

You can install it using `pip install quantem`.

For a developer install, please refer to [CONTRIBUTORS.md](CONTRIBUTORS.md).

## License

quantem is free and open source software, distributed under the [MIT License](LICENSE).