<h2>Overview</h2>
The Pattern project offers an innovative cookiecutter template that aligns with modern Python development practices. Designed for both newcomers and seasoned developers, it simplifies the initiation of Python projects by providing a structured setup with essential tools and configurations already in place. With a focus on robust documentation and integrated workflows, Pattern stands out as a comprehensive solution for establishing a solid foundation for your next coding endeavor.
Navigating the complexities of project setup can be daunting, but Pattern streamlines this process by allowing users to customize their project according to specific needs. Whether you are looking for package management, linting, or testing tools, this template has you covered with a variety of options that ensure a smooth start.
<h2>Features</h2>
<ul>
<li>UV - Package and Project Manager: Simplifies dependency management and package installations for efficient project organization.</li>
<li>Ruff - Linter and Code Formatter: Helps maintain code quality by providing automatic linting and formatting throughout the development process.</li>
<li>Typechecking with Ty or Mypy: Offers type-checking capabilities to catch errors early in the development cycle, enhancing code reliability.</li>
<li>Pytest - Testing Framework: Integrates a straightforward testing framework to ensure code correctness and functionality with confidence.</li>
<li>Coverage - Test Coverage Analysis: Provides insights into code coverage, helping developers to identify untested parts of their codebase.</li>
<li>Nox - Multi-Environment Testing: Facilitates testing across various Python environments, ensuring compatibility and robustness of the application.</li>
<li>Taskipy - Task Runner: Enables the creation of command-line shortcuts for repetitive tasks, streamlining project workflows.</li>
<li>Docker Support: Includes a comprehensive dockerignore file, simplifying containerization and deployment of your application.</li>
</ul>
With these features, Pattern not only enhances productivity but also encourages best practices in software development, ensuring that your Python projects start off on the right foot.

Wyattferguson

Pattern