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Lists vs Tuples in the Python programming language


The differences between lists and tuples in the Python programming language 

In Python, both lists and tuples are used to store collections of data. However, there are several key differences between these two data structures that make them useful for different purposes.

Firstly, tuples are immutable, meaning that once they are created, their contents cannot be changed. In contrast, lists are mutable, so you can add, remove, or modify elements as needed.

Secondly, tuples use less memory than lists, which can be an advantage when working with large datasets. Tuples are also faster to access than lists, as they do not need to be resized or reallocated in memory.

Thirdly, tuples are often used to represent data that should not be modified, such as coordinates or dates, while lists are more commonly used for data that can be changed or modified over time.

Finally, tuples can be used as keys in dictionaries, while lists cannot, as keys must be immutable objects.

In summary, lists and tuples are both useful data structures in Python, but they have distinct differences that make them better suited for different tasks.


Python Documentation on Lists: 

Python Documentation on Tuples: 

GeeksforGeeks on Lists: 

GeeksforGeeks on Tuples: 

Real Python on Lists: 

Real Python on Tuples: 

W3Schools on Lists: 

W3Schools on Tuples: 

StackOverflow on Lists vs Tuples: 

Python Central on Lists vs Tuples:

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