When to Use Tuples Over Lists?
In Python, tuples and lists are both used to store collections of data, but they have some important differences. Here are some situations where you might want to use tuples instead of lists –
Immutable Data – Tuples are immutable, thus once they are generated, their contents cannot be changed. This makes tuples a suitable option for storing information that shouldn’t change, such as setup settings, constant values, or other information that should stay the same while your programme is running.
Performance – Tuples are more lightweight than lists and might be quicker to generate, access, and iterate through since they are immutable. Using a tuple can be more effective than using a list if you have a huge collection of data that you need to store, retrieve, and use regularly and that data does not need to be altered.
Data integrity – By ensuring that the data’s structure and contents stay consistent, tuples can be utilised to ensure data integrity. To make sure the caller is aware of how much data to expect, for instance, if a function returns a set amount of values, you might want to return them as a tuple rather than a list.
Difference Between List and Tuple in Python
Lists and Tuples in Python are two classes of Python Data Structures. The list structure is dynamic, and readily changed whereas the tuple structure is static and cannot be changed. This means that the tuple is generally faster than the list. Lists are denoted by square brackets and tuples are denoted with parenthesis.