Скачать или смотреть docstrings in python stub files pyi

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Docstrings are a powerful tool in Python for documenting code. They provide a convenient way to describe the purpose, usage, and parameters of functions, methods, classes, and modules. However, when it comes to type hints and static analysis, Python introduced stub files (*.pyi) to allow developers to provide type information without executing the code.
This tutorial will focus on writing informative docstrings in Python stub files, explaining the importance of good documentation, and providing code examples.
Documentation: Docstrings serve as inline documentation, making it easier for developers to understand the purpose and usage of functions and classes.
Readability: Well-written docstrings enhance code readability, making it easier for others (or even yourself) to use and maintain the code.
IDE Support: IDEs and tools like linters and type checkers leverage docstrings for better autocompletion suggestions, error checking, and type hinting.
A typical docstring consists of a one-line summary followed by a more detailed description. Additionally, it may include sections for parameters, return values, and examples. The Google Style Python Docstrings are widely adopted and provide a consistent format:
When it comes to stub files, which end with the extension .pyi, the format remains similar, but we're dealing with type hints. Let's explore how to write docstrings in a stub file:
In this example, we use type hints without repeating the types in the docstring, keeping it clean and maintaining a clear separation between the type information and the documentation.
To take full advantage of docstrings in stub files, use them in conjunction with type checkers like mypy. Mypy will leverage the docstrings to provide better error messages and suggestions:
Writing informative docstrings in Python stub files is a valuable practice. It not only helps in documenting code but also enhances the development experience by providing better IDE support and more accurate type checking. By following consistent docstring conventions, you contribute to a more maintainable and collaborative codebase.
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