Hey, Here is the Day 3 updates of my Python learning journey! Today, I explored two essential concepts that make Python a flexible and powerful programming language: Dynamic Typing and Mutable vs Immutable Types . Let's dive deep into these topics! Understanding Dynamic Typing in Python Python is a dynamically typed language, meaning that variable types are determined at runtime . Unlike statically typed languages such as Java or C++, where you need to declare the type of a variable explicitly, Python allows you to assign any value to a variable without specifying its type. Example of Dynamic Typing: x = 10 # x is an integer print(type(x)) # Output: <class 'int'> x = "Hello" # x is now a string print(type(x)) # Output: <class 'str'> x = [1, 2, 3] # x is now a list print(type(x)) # Output: <class 'list'> Key Takeaways: No need to declare variable types in Python. The same variable can hold different types of data ...