semvec/pypi-packages huggingface dataset:
pex-demo-stepanmatula 1.0.4
Flask web application built with Jenkins CI/CD pipeline - PEX Demo
License: MIT
Requires Python: >=3.8

# PEX Demo - Stepan Matula

A Flask web application demonstrating Jenkins CI/CD pipeline with PyPI publishing.

## Features

- RESTful API endpoints (`/`, `/health`, `/info`)
- Health check endpoint for monitoring
- Application info with build metadata
- Complete Jenkins CI/CD Pipeline (6 stages)
- Docker containerization support
- Automated PyPI publishing

## Installation

```bash
pip install pex-demo-stepanmatula
```

## Usage

### As a console command:
```bash
pex-demo
```

### As a Python module:
```python
from app import app
app.run()
```

## API Endpoints

- `GET /` - Main application endpoint
- `GET /health` - Health check endpoint  
- `GET /info` - Application information

## Development

This package was built using Jenkins CI/CD pipeline with the following stages:
1. Build & Setup
2. Test & Quality Assurance  
3. Manual Approval
4. Deploy & Archive
5. Package Preparation
6. PyPI Publication

## License

MIT License
python-nakb 0.1.0
Python package that makes custom requests to the NAKB site
License: MIT
Requires Python: >=3.10

# Requests to Nucleic Acid Knowledge-Base

![PyPI version](https://img.shields.io/pypi/v/python-nakb.svg)
[![Documentation Status](https://readthedocs.org/projects/python-nakb/badge/?version=latest)](https://python-nakb.readthedocs.io/en/latest/?version=latest)
[![Coverage Status](https://gitlab.com/MorfeoRenai/python-nakb/badges/main/coverage.svg)](https://gitlab.com/MorfeoRenai/python-nakb/-/commits/main)

Python package that makes custom requests to the NAKB site. The client offers both a **high-level interface** and a
**raw low-level interface**.

* PyPI package: https://pypi.org/project/python-nakb/
* Free software: MIT License
* Documentation: https://python-nakb.readthedocs.io.

## Features

* High-level Pythonic query interface;
* Raw low-level Solr access;
* Automatic filter construction;
* Clean pandas DataFrame output.

## Credits

This package was created with [Cookiecutter](https://github.com/audreyfeldroy/cookiecutter) and the [audreyfeldroy/cookiecutter-pypackage](https://github.com/audreyfeldroy/cookiecutter-pypackage) project template.