project-templates 0.0.1

Pre-set basic templates of common Python projects

Python Project Generator

Overview

This Python Project Generator is a command-line tool that helps you quickly create Python project structures using predefined templates. It supports multiple project templates including default, API, ETL, and Machine Learning/Analytics projects.

Prerequisites

• Python 3.10+
• pip
• virtualenv (recommended)

Installation

1. Clone the Repository

git clone https://github.com/pedrohgoncalvess/template-generator.git
cd template-generator

2. Create Virtual Environment

# On Windows
python -m venv .venv
.venv\Scripts\activate

# On macOS/Linux
python3 -m venv .venv
source .venv/bin/activate

3. Install the Package

pip install -e .

Usage

Generate a Project

# Basic usage
npt --name my-project

# Specify a template
npt --name my-api-project --template api

# Specify a custom path
npt --name my-project --path /path/to/projects

Available Templates

• default: Standard Python project structure
• api: API-focused project setup
• etl: Extract, Transform, Load project structure
• analytics-ml: Machine Learning and Analytics project template

Example

# Create a new API project
npt --name my-awesome-api --template api

Project Templates Details

Default Template

• Basic Python project structure
• Includes README, .gitignore
• Minimal configuration files

API Template

• Flask/FastAPI ready structure
• Includes API routing
• Swagger/OpenAPI documentation setup

ETL Template

• Data extraction and transformation setup
• Configuration for various data sources
• Logging and error handling

Analytics-ML Template

• Machine Learning project structure
• Jupyter notebook integration
• Data preprocessing scripts
• Model training and evaluation templates

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Development Setup

# Clone the repository
git clone https://github.com/your-username/project-generator.git
cd project-generator

# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # On Unix
.venv\Scripts\activate     # On Windows

# Install development dependencies
pip install -e .
pip install -r requirements-dev.txt  # If you have dev requirements

Running Tests

# Run tests
pytest tests/

License

Apache License, Version 2.0

Support

If you encounter any problems, please file an issue on GitHub.