<h2>Overview</h2>
The Modern Python Boilerplate serves as a robust foundation for developing new Python projects, ensuring that developers have access to the latest tools, structure, and best practices. Created by Corentin Meyer, a PhD in Biomedical AI, this boilerplate is meticulously designed to streamline the development process and facilitate effective collaboration.
With its comprehensive approach, this boilerplate includes pre-configured elements that not only enhance productivity but also ensure that the project adheres to modern standards. Whether you're launching a new application or refining an existing one, this boilerplate can significantly simplify the setup and maintenance of your Python projects.
<h2>Features</h2>
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Global Makefile: A centralized Makefile allows you to run all necessary commands effortlessly. Simply use <code>make help</code> to discover the available commands.
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Python Management: Utilizes UV for seamless management of Python versions and dependencies, ensuring your project runs on the correct setup with minimal hassle.
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Project Structure: Follows a clean and organized <code>src/package</code> structure, promoting maintainability and scalability in your codebase.
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Continuous Integration: Easily integrate CI tools with commands like <code>make allci</code>, enhancing your workflow and automating checks.
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Code Quality Tools: Incorporates Ruff for linting, formatting, and type checking with simple commands such as <code>make check</code>, <code>make format</code>, and <code>make type</code>.
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Testing Framework: Employs Pytest for running tests, including coverage reports with <code>make cov</code>, ensuring your application is thoroughly validated.
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Pre-commit Hooks: Automatically format and check your code before commits, streamlining the code review process and improving overall quality.
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Lambda Science

Modern Python Boilerplate