semvec/pypi-packages huggingface dataset:
InlinePlaylink 0.0.2
A small python package
License: MIT
Requires Python: >=3.8

# Inline-Playlink-PYPI-Package


This repository contains the source code and documentation for the Inline-Playlink Python package, which is available on PyPi. The Inline-Playlink is a powerful tool for rendering any youtube videos and any web page  over the Jupyter/Colab Notebook.

# How to run?

## Installation:

#### Create a conda environment

```bash
conda create -n Inline_Playlink python=3.8 -y
```

```bash
conda activate Inline_Playlink
```

```bash
pip install -r requirements_dev.txt
```
vetsa 0.1.0
Cliente oficial de Python para Vetsa Intelligence API
License: MIT
Requires Python: >=3.8
Keywords: vetsa, ai, intelligence, voice, api

Vetsa Intelligence Python Client

Librería oficial para integrar la API de Vetsa Cloud v1.2.0 en tus aplicaciones Python. Soporta generación de texto, búsqueda online, imágenes y síntesis de voz (TTS).

Instalación

Instala el paquete usando pip:

pip install vetsa


Configuración

Necesitas una API Key del Dashboard de Vetsa.

from vetsa import VetsaClient

# Inicializa el cliente
client = VetsaClient(api_key="TU_API_KEY_AQUI")


Ejemplos de Uso

1. Chat y Texto (Modelo Spaik)

Puedes usar el método rápido chat para conversaciones o generación de texto.

# Chat simple (modelo por defecto: spaik-pro)
response = client.chat("Explícame qué es la computación cuántica en una frase.")
print(response['data']['response'])

# Chat con búsqueda en internet en tiempo real (Spaik Online)
noticias = client.chat("¿Qué noticias hay sobre la exploración espacial hoy?", search=True)
print(noticias['data']['response'])


2. Texto a Voz (TTS)

Convierte texto en audio natural. La librería maneja automáticamente la decodificación del audio para que obtengas los bytes listos para guardar o reproducir.

Voces disponibles: emily, jonas, alexa, luis-angel.

try:
    # Generar audio
    audio_bytes = client.text_to_speech(
        text="Hola, soy la inteligencia artificial de Vetsa funcionando en Python.",
        voice="jonas"
    )

    # Guardar en un archivo .ogg
    with open("audio_generado.ogg", "wb") as f:
        f.write(audio_bytes)
    
    print("¡Audio generado correctamente como 'audio_generado.ogg'!")

except Exception as e:
    print(f"Error generando audio: {e}")


3. Generación de Imágenes

Para generar imágenes, usa el método genérico generate con el modelo de visión.

response = client.generate(
    model="spaik-pro-vision", 
    contents="Un astronauta programando en una laptop en medio de un bosque futurista neon",
    options={
        "width": 1024, 
        "height": 1024, 
        "quality": "hd"
    }
)

# La API devuelve la URL de la imagen generada
print("Imagen generada:", response['data']['url'])


Manejo de Errores

La librería incluye manejo de excepciones nativo para los códigos de error de Vetsa:

PermissionError: Si tu API Key es inválida (Error 401).

BlockingIOError: Si excediste tu cuota (Error 402).

ConnectionError: Si envías peticiones muy rápido (Error 429).
sasktran2 2026.2.0
The SASKTRAN radiative transfer model Version 2
License: MIT
Requires Python: >=3.10

# SASKTRAN
[![Anaconda-Server Badge](https://anaconda.org/conda-forge/sasktran2/badges/version.svg)](https://anaconda.org/conda-forge/sasktran2)
[![Available on pypi](https://img.shields.io/pypi/v/sasktran2.svg)](https://pypi.python.org/pypi/sasktran2/)
[![Documentation Status](https://readthedocs.org/projects/sasktran2/badge/?version=latest)](https://sasktran2.readthedocs.io/en/latest/?badge=latest)
[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/usask-arg/sasktran2/main.svg)](https://results.pre-commit.ci/latest/github/usask-arg/sasktran2/main)



The SASKTRAN radiative transfer framework is a radiative transfer tool developed at the University of Saskatchewan. Originally designed for use with the OSIRIS instrument (https://research-groups.usask.ca/osiris/) it has since evolved to be applicable to a large variety of applications. SASKTRAN is a full framework and not just a radiative transfer model, as such it contains databases or interfaces to standard climatologies and species optical properties.

SASKTRAN2 is a full re-implementation of the original SASKTRAN framework with large computational efficiency
improvements, full linearizations of atmospheric input properties, and an improved Python interface.

## Installation
The preferred method to install SASKTRAN2 is through the pre-compiled Conda package

```
conda install -c conda-forge sasktran2
```
these packages are made available for Python versions 3.10, 3.11, 3.12, 3.13 on Windows/Linux/Mac platforms.
For Mac, both x86_64 and Arm packages are available.
For Linux, arm/ppc are also supported.

Wheels are also built for the same platforms and can be installed through,
```
pip install sasktran2
```

SASKTRAN2 can also be built directly from source,
```
pip install .
```

When building from source it is required that a Blas/LAPACK implementation is findable by CMake.

## Usage
Documentation can be found at https://sasktran2.readthedocs.io/

## License
SASKTRAN2 is made available under the MIT license.

## Acknowledgement
We request that users of the model contact the authors before publishing results using SASKTRAN, and that the following publications are acknowledged:

Zawada, D. J., Dueck, S. R., Rieger, L. A., Bourassa, A. E., Lloyd, N. D., and Degenstein, D. A.: High-resolution and Monte Carlo additions to the SASKTRAN radiative transfer model, Atmos. Meas. Tech., 8, 2609-2623, https://doi.org/10.5194/amt-8-2609-2015, 2015.

Bourassa, A. E., Degenstein, D. A., and Llewellyn, E. J.: SASKTRAN: A Spherical Geometry Radiative Transfer Code for Efficient Estimation of Limb Scattered Sunlight, J Quant Spectrosc Radiat Trans, Volume 109, Issue 1, 52-73, https://doi.org/10.1016/j.jqsrt.2007.07.007, 2008.