Python mutable versus immutable example
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in python, objects are categorized as either mutable or immutable. understanding the difference between mutable and immutable objects is crucial for writing efficient and bug-free code.
*immutable objects* are objects whose state cannot be modified after creation. when you modify an immutable object, a new object is created in memory. common examples of immutable objects in python include integers, floats, strings, and tuples.
**mutable objects**, on the other hand, are objects whose state can be modified after creation. when you modify a mutable object, the changes are reflected in the same object in memory. common examples of mutable objects in python include lists, dictionaries, and sets.
here's an example to illustrate the difference between mutable and immutable objects in python:
in the code snippet above, we first demonstrate an immutable object with an integer variable `num`. when we modify `num` by incrementing its value, a new integer object is created with the updated value. on the other hand, we then show a mutable object with a list variable `my_list`. when we modify `my_list` by appending a new element, the original list is updated in place without creating a new object.
understanding the distinction between mutable and immutable objects is crucial for writing efficient and bug-free code in python. remember to consider the mutability of objects when designing your data structures and algorithms.
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