semvec/pypi-packages huggingface dataset:
shivduttchoubey 0.1.0
A package to open Shivdutt Choubey's website
Requires Python: >=3.6

# shivduttchoubey

A simple Python package to open Shivdutt Choubey's website.

## Installation

```bash
pip install shivduttchoubey
```

## Usage

```python
from shivduttchoubey import website

website()  # Opens https://shivduttchoubey.github.io in your default browser
```

## License
MIT
pureauth-pysdk 2.1.2
pureauth-sdk contains all functions and classes to work with PureAUTH authentication platform
Requires Python: <4.0,>=3.8

# PureAUTH PySDK
This SDK contains functionality to sync user data to the PureAUTH server as well as the OfflineAUTH functionality.

# Development setup
For development, follow the steps below.
1) Install poetry
2) Clone the repository
3) Run command: `poetry install`
4) Run command `poetry shell`
5) Build a development wheel by running `pip install --editable .` 
6) Import the project and use. `from pureauth_pysdk import Pureauth`

A Jupyter notebook for development is provided in the docs directory. To use it, first point the notebook to the correct poetry environment for the Jupyter kernel. 
Note: After any change in the project, you need to restart the Jupyter kernel to see the changes.
pybiouml 1.2.2
Python package for using BioUML
Requires Python: >=3.8

# pybiouml

[BioUML](https://www.biouml.org/) - an integrated environment
for systems biology and collaborative analysis of biomedical data.
This library is a python interface which gives an opportunity to use BioUML 
through python scripts.
 
## Documentation

Documentation and use cases for pybiouml are presented available here:   
[Documentation and use cases](https://pybiouml.readthedocs.io/en/latest/) 

## Instalation
For library instalation you can use the package 
manager [pip](https://pypi.org/project/pybiouml/).

```bash
pip install pybiouml 
```

## License
[MIT](https://choosealicense.com/licenses/mit/)
lopez-gonzalez-nuria-DI03-Tarea 0.1.0
Reserva de salones para eventos en hotel MiHotel

Proyecto lopez_gonzalez_nuria_DI03_Tarea - README.txt

1. Descripción:
-------------------
Este proyecto es una aplicación realizada con PySide6. Su finalidad es poder reservar un salón para un evento determinado en el hotel que figura en la aplicación. Hay diferentes tipos de salones según las necesidades de los clientes, pudiendo añadir mejoras como cocina y alojamiento.

2. Requisitos:
-------------------
- Python 3.x
- PySide6

3. Instalación:
-------------------
Para instalar el proyecto, siga estos pasos:
1. Clonar el repositorio:
   git clone <repositorio-url>
2. Instalar las dependencias:
   pip install -r requirements.txt

4. Uso:
-------------------
Para ejecutar la aplicación:

1. Ejecuta el script principal:
   python main.py

5. Explicación de funciones clave:
-------------------

- `iniciar_app()`: Inicializa la aplicación principal y muestra la interfaz.

- Interfaz 2, en la que se selecciona el tipo de salón que buscamos para reservas y celebrar un evento, si no se selecciona ningún tipo de salón no debe poder acceder a la interfaz 3 
- Interfaz 3 para gestionar las reservas. Permite dar de alta una reserva, todo ello guardado en la base de datos.
- Interfaz 4 para modificar una reserva.Permite cargar y modificar una reserva existente desde la interfaz 2.

6. Comentarios sobre decisiones de diseño:
-------------------
- Se usó el patrón de diseño MVC para separar la lógica de negocio de la interfaz de usuario creada con QtDesigner.
- La aplicación está construida con PySide6 debido a su flexibilidad y facilidad de uso para crear aplicaciones GUI en Python.

7. Contacto:
-------------------
Para más información, contactar a: Email
tc-analyzer-lib 1.4.16
A platform agnostic analyzer, computing the TogetherCrew dashboard metrics.

# TC-Analyzer-lib

This repository contains the codes to analyze different platform's data. It includes the scripts to compute heatmaps, memberactivities and graph analytics such as degree centrality, Louvain modularity, local clustering coefficient.

To install the library you could follow the

```bash
pip install tc-analyzer-lib
```
hzdatasdk 1.1.0
shanghai hz finance data sdk
Requires Python: >=3.7

# hzdatasdk Package

This is a simple example package. You can use
[Github-flavored Markdown](https://guides.github.com/features/mastering-markdown/)
to write your content.

列举了hzdata相关的一些内容

项目背景:

	hzdata提供了一套python的sdk
	使用者在集成了sdk之后，可以通过接口直接拉取数据,返回
	的数据大都为pandas.dataframe、numpy.array等格式。
vidyut 0.4.0
A high-performance Sanskrit toolkit
Requires Python: >=3.7

<div align="center">
<h1><code>bindings-python</code></h1>
<p><i>Vidyut's Python bindings</i></p>
</div>

This directory provides Python bindings for Vidyut. Our work here focuses
specifically on Rust-Python conversion and *not* on the underlying logic.
This means we focus on:

- improving comments, documentation, and type hints
- adding better error messages
- making our API more exhaustive
- making our API more Pythonic
- adding extensive tests for our Rust-Python conversions


Links
-----

For users:

- Documentation: https://vidyut.readthedocs.io
- Releases: https://pypi.org/project/vidyut/
- Changes: https://vidyut.readthedocs.io/en/latest/changes.html
- Code: https://github.com/ambuda-org/vidyut
- Issues: https://github.com/ambuda-org/vidyut/issues
- Chat: https://discord.gg/7rGdTyWY7Z

For contributors:

- [CONTRIBUTING.md](https://github.com/ambuda-org/vidyut/blob/main/CONTRIBUTING.md)
dl-sh-source 0.4
Download articles from Sci Hub given the article's DOI.
Requires Python: >=3.10

# dl-sh-source

This program downloads an article from Sci-Hub to the current working directory.

## Installation

``` shell
pipx install dl-sh-source --include-deps
```

## Usage

Use the original article's digital object identifier (DOI) for the ARTICLE_NAME argument. Use a working Sci-Hub proxy as the SCIHUB_URL argument. For example, if the article's DOI URL is `10.1192/bjp.173.6.519`, and the Sci-Hub proxy you want to use is `https://sci-hub.st`, then the entire command would look like the following:

``` shell
cd ~/downloads
dl-sh-source "https://sci-hub.st" "10.1192/bjp.173.6.519"

Output:
--> /home/jas/downloads/paykel1998.pdf
```

However, if the article cannot be found on Sci-Hub, you'll get the following message:

``` shell
Output:
:(
Unfortunately, Sci-Hub doesn't have the requested document: 10.1192/bjp.173.6.519
```

> Note: make sure to use quotes around the Sci-Hub URL and DOI in the arguments to `dl-sh-source`.