Mutable and Immutable Data Types in Python | Python in Bangla | Lecture-18

Welcome to this video on Mutable and Immutable Data Types in Python! In this tutorial, we'll break down the difference between mutable and immutable data types in Python in simple, easy-to-understand terms. Whether you're a beginner in Python programming or looking to deepen your understanding of data types in Python, this video will clarify what makes a data type mutable (able to change) or immutable (unable to change).

We’ll explore key examples of both types, explain why this distinction is important in coding, and cover how Python handles mutable vs immutable objects in memory. By the end of this video, you’ll know how to identify mutable and immutable data types, understand their impact on your code, and gain confidence using them in your Python projects.

If you're interested in learning about Python immutable vs mutable, mutable and immutable data types, or just want to solidify your basics in Python, this video is perfect for you. Let’s get started!

Note:
Immutable Data Types (Not Changeable)
- In Python, immutable data types are those that, once created,
cannot be modified. If you try to change the content of an immutable object,
Python will create a new object rather than modifying the original.
- Integers ( int ): Whole numbers, positive or negative.
- Floating-point numbers ( float ): Numbers with a decimal point.
- Strings ( str ): Sequences of characters.
- Tuples ( tuple ): Ordered collections of items.
- Frozen Sets ( frozenset ): Immutable sets.
- Booleans(bool)

Mutable Data Types(Changeable)
- In Python, mutable data types are those that can be changed after they
are created. You can modify their contents without creating a new object.
- Lists ( list ): Ordered collections of items.
- Dictionaries ( dict ): Collections of key-value pairs.
- Sets ( set ): Unordered collections of unique items.
- Byte Arrays(bytearray)

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