Overview

The Cookiecutter Hipster PyPackageCookiecutter template stands out as a multifunctional tool for developers looking to create cutting-edge Python packages. With a focus on modern programming practices and ease of use, this template incorporates a variety of essential features designed to streamline the development process and enhance productivity. By integrating tools such as uv for dependency management and just for command shortcuts, it offers a robust foundation for any Python project, ensuring that developers can focus on creating high-quality code without getting bogged down by setup.

This template exemplifies a modern approach to Python package creation, emphasizing efficiency and reliability. The incorporation of linting, type checking, and unit testing demonstrates a commitment to code quality, while the ready-to-use GitHub Actions pipelines facilitate continuous integration and deployment. Overall, it's a perfect match for developers who want to leverage the latest tools and methodologies in their work.

Features

Lightweight Starter: Kickstart your Python package with a minimalistic yet powerful template designed for efficiency.
Dependency Management with uv: Utilizes uv for fast and accurate dependency resolution, organizing dependencies via PEP 735 groups.
Command Shortcuts with just: Simplifies command execution for common tasks with just, making your workflow more streamlined and portable.
Linting and Formatting with ruff: Ensures your code is clean and well-formatted by integrating ruff for linting purposes.
Type Checking with mypy: Improves code robustness by incorporating mypy for static type checking, catching errors before runtime.
Unit Tests with pytest: Allows for thorough testing of your codebase, with optional support for asyncio to handle asynchronous code.
Comprehensive Documentation: Automatically generates documentation using Material for MkDocs, complete with docstring reference support via mkdocstrings.
Ready-to-Use GitHub Actions Pipelines: Comes with pre-configured GitHub Actions for seamless CI/CD integration, improving deployment efficiency.
AI-Assisted Development: Provides GitHub Copilot instructions to maintain consistent coding standards when using AI tools.

Frankie567

Cookiecutter Hipster Pypackage