python-type-safety

To add type hints to your Python codebase, you apply type annotations to function signatures and variables. This process serves as inline documentation and enables static analysis to catch type-related bugs before runtime.

The best way to perform static type checking on Python code is by adding type annotations and running a type checker like mypy or pyright. This validates type consistency across your functions and classes to reduce runtime errors.

You need to use generics and protocols when building reusable, type-safe components in Python. Generics maintain type information across different data types, while protocols define structural interfaces for duck typing without explicit inheritance.

Yes, you can implement structural duck typing with strict type checking by defining protocols. Protocols allow you to create structural interfaces that enforce type safety on objects based on their shape and methods rather than their inheritance hierarchy.

Yes, mypy works with complex type annotations and generics to validate your code. Configuring type checkers like mypy ensures that your generic classes and type hints are correctly enforced during static analysis.