Is Python a Strongly Typed Language?

The notion of strong typing in Python has raised some confusion, as the language allows variables to change their types during execution. However, Python is indeed strongly typed, albeit dynamically.

Strong Typing in Python

Strong typing ensures that values maintain their declared types unless explicitly converted. In Python, this means that variables do not have fixed types, but rather the values they hold have types.

For instance, assigning an integer to a variable does not affect its type:

bob = 1

However, assigning a string to the same variable changes its type:

bob = "bob"

This demonstrates that variables in Python can hold values of different types without causing type errors.

Dynamic Typing in Python

Dynamic typing means that the type of an object is determined during runtime. This contrasts with statically typed languages, where variable types are fixed at compile time.

In Python, this dynamic typing allows variables to change their types seamlessly. For example, the following code is valid:

x = 1
x = "hello"

Is Python Weakly Typed?

Some may argue that Python's ability to change variable types makes it weakly typed. However, this is not entirely true. Weak typing typically allows implicit type conversions without the need for explicit casting. In Python, type conversions require explicit operations:

int("123")  # Explicit conversion to integer
str(456)   # Explicit conversion to string

Summary

Python is a strongly typed language that employs dynamic typing. This means that values, not variables, have fixed types that cannot be changed implicitly. However, the type of a variable can change at runtime through explicit conversions. This combination of strong and dynamic typing provides flexibility and code safety in Python programming.