What is the difference between a Mutable datatype and an Immutable data type? | Day 4 | 21 December

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Question:
What is the difference between a Mutable datatype and an Immutable data type?
Answer:
The primary difference between mutable and immutable data types lies in their ability to be modified after creation. Let's discuss one by one.
Mutable Data Types:
Mutable data types can be changed after they are created. This means you can alter their content without creating a new object. Common examples in Python include lists, dictionaries, and sets.

Here is the Example of Mutable Data Types:
```python
my_list = [1, 2, 3]
my_list.append(4) # Modifies the original list
```

Immutable Data Types:
Immutable data types cannot be changed after they are created. Any modification to an immutable object results in the creation of a new object. Common examples include strings, tuples, and integers.

Here is the Example of Immutable Data Types:
```python
my_string = "Hello"
new_string = my_string + " World" # Creates a new string, leaving the original unchanged
```

Key Differences:
1. Changeability:
Mutable objects can change in place; immutable objects cannot.
2. Memory Efficiency:
Immutable objects may lead to higher memory usage due to new object creation.
3. Thread Safety:
Immutable objects are inherently thread-safe, whereas mutable objects require careful management.

In Summary, Mutable types offer flexibility and efficiency for dynamic changes, while immutable types ensure stability and safety in code. Understanding their differences helps in selecting the appropriate type based on the specific requirements of a task.
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Видео What is the difference between a Mutable datatype and an Immutable data type? | Day 4 | 21 December канала Question With Answer