What is the difference between static and dynamic type checking in Python?

What is the difference between static and dynamic type checking in Python?

In Python, dynamic type checking means that the type of a variable is checked at runtime, while static type checking checks types at compile time. Python primarily uses dynamic type checking.

Can you give me an example of dynamic type checking in Python?

Sure! In Python, you can assign different types to a variable without any declaration. For example:

x = 10  # x is an integer
x = 'Hello'  # now x is a string

Here, the type of x changes dynamically.

What are the advantages of static type checking?

Static type checking can catch type errors at compile time, which can lead to fewer runtime errors and improved code quality. It also enhances code readability and maintainability.

Does Python support static type checking?

Yes, Python supports static type checking through type hints and tools like mypy. You can annotate your functions with expected types, and mypy can check for type consistency before runtime.