Dynamic Type Checking

Dynamic type checking provides runtime execution safety.

• It analyzes the code after running it (after code execution)
• It discovers errors when the problematic code path is reached
• It happens implicitly
• It is enforced by the interpreter itself

Let’s consider the following Python function:

def process_user(user):
    return user["age"] + 10

Now, if we call the function and pass an invalid type for user["age"], it will throw a TypeError.

user = {"age": "twenty"}
 
process_user(user)  # TypeError

Because "twenty" (string) cannot be added to 10 (integer).

This means Python stops invalid operations at execution.