This project is a template for creating Python projects that follows the Python Standards declared in PEP 621. It uses a pyproject.yaml file to configure the project and Flit to simplify the build process and publish to PyPI. Flit simplifies the build and packaging process for Python projects by eliminating the need for separate setup.py and setup.cfg files. With Flit, you can manage all relevant configurations within the pyproject.toml file, streamlining development and promoting maintainability by centralizing project metadata, dependencies, and build specifications in one place.
The pyproject.toml file is a centralized configuration file for modern Python projects. It streamlines the development process by managing project metadata, dependencies, and development tool configurations in a single, structured file. This approach ensures consistency and maintainability, simplifying project setup and enabling developers to focus on writing quality code. Key components include project metadata, required and optional dependencies, development tool configurations (e.g., linters, formatters, and test runners), and build system specifications.
In this particular pyproject.toml file, the [build-system] section specifies that the Flit package should be used to build the project. The [project] section provides metadata about the project, such as the name, description, authors, and classifiers. The [project.optional-dependencies] section lists optional dependencies, like pyspark, while the [project.urls] section supplies URLs for project documentation, source code, and issue tracking.
The file also contains various configuration sections for different tools, including bandit, black, coverage, flake8, pyright, pytest, tox, and pylint. These sections specify settings for each tool, such as the maximum line length for flake8 and the minimum code coverage percentage for coverage.
To get started with this template, simply 'Use This Template' to create a new repository and start building your project within the src directory. Try to open the project in GitHub Codespace, and to run the unit tests using the VS Code Test extension.