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https://github.com/sivakumar-mahalingam/python-boilerplate

A structured Python project boilerplate with dependency management, setup scripts, documentation, and testing framework for efficient development.
https://github.com/sivakumar-mahalingam/python-boilerplate

boilerplate project-structure project-template python python-project starter-kit

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A structured Python project boilerplate with dependency management, setup scripts, documentation, and testing framework for efficient development.

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README

          

# Python Boilerplate

A comprehensive starter template for Python projects, designed to help you get up and running quickly with a well-organized folder structure and essential configuration files. This boilerplate includes setup for managing dependencies, structuring your code, writing tests, and maintaining documentation.

## Features

- **Structured Directory Layout**: Organized folder structure to keep your project clean and maintainable.
- **Dependency Management**: `requirements.txt` for easy package installation.
- **Setup Script**: `setup.py` for packaging and distributing your project.
- **Version Control**: `.gitignore` to exclude unnecessary files from version control.
- **Data Directory**: Placeholder directories for raw data and processed data.
- **Documentation**: Starter files for project documentation.
- **Source Code Organization**: Separate folders for main application code and modules.
- **Testing**: Boilerplate for unit tests.

## Getting Started

### Prerequisites

- Python 3.x
- `pip` (Python package installer)

### Installation

1. Clone the repository:

```bash
git clone https://github.com/yourusername/python-project-boilerplate.git
cd python-project-boilerplate
```

2. Create a virtual environment:

```bash
python -m venv venv
source venv/bin/activate # On Windows, use `venv\Scripts\activate`
```

3. Install dependencies:

```bash
pip install -r requirements.txt
```

### Usage

- Place your main application code in the `src/` directory.
- Add any additional modules in the `src/module/` directory.
- Write your unit tests in the `tests/` directory.
- Store your data files in the `data/` directory.
- Document your project in the `docs/` directory.

## Contributing

Contributions are welcome! Please fork the repository and open a pull request to suggest improvements or bug fixes.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.