Python: Mutable vs Immutable objects

🐍 In this video, we'll dive into a fundamental concept in Python - the difference between mutable and immutable objects. Understanding this concept is crucial for writing efficient Python code.

🔹 Mutable Objects:
Mutable objects can be changed after they are created.
Examples of mutable objects in Python include lists, dictionaries, and sets.
When you modify a mutable object, it changes in place, and any references to that object will reflect the changes.

🔸 Immutable Objects:
Immutable objects cannot be changed after they are created.
Examples of immutable objects in Python include integers, floats, strings, and tuples.
When you modify an immutable object, a new object is created with the modified value, and any references to the original object remain unchanged.

🔢 We'll start with a simple example using integers. When we assign an integer to a variable, let's say a, and then assign a to another variable, say b, what happens when we change the value of a? Does b change as well?

🔄 Visually, we'll demonstrate how the assignment of a to b works and how changing the value of a affects b or not. This visual explanation will make the concept crystal clear.

📋 Next, we'll explore mutable and immutable objects using a list and a tuple. Lists are mutable, meaning you can change their elements after they are created. On the other hand, tuples are immutable, meaning once they are created, you cannot change their elements.

💡 By the end of this video, you'll have a solid understanding of mutable and immutable objects in Python, which will help you write more efficient and bug-free code.

🚀 Stay tuned for more Python programming tips and tricks!

Happy Learning!

[ebenbrittz]

Thank you, very clear and concise explanation.