In this tutorial, I have explained the differences between lists, tuples, sets, and dictionaries in Python. Lists are versatile and widely used, tuples are immutable and memory-efficient, sets are ideal for dealing with unique elements and set operations and dictionaries provide fast key-value lookups. You may also like to read:

We have learnt a lot about the differences between List, Set, Dictionary, and Tuple. The List, Tuple, and Dictionary (from Python version 3.7) are ordered, whereas the set is unordered. Similarly, the List, Set, and Dictionary are mutable. We have discussed each and every criterion in detail.

Tuple → When you want a fixed collection that should not be modified (e.g., storing geographical coordinates). Dictionary → When you need key-value mappings for fast lookups (e.g., storing student records with IDs as keys). Python provides multiple ways to store and organize data. Lists are flexible and widely used for dynamic data.

A Tuple is a non-homogeneous data structure that stores elements in columns of a single row or multiple rows. The set data structure is non-homogeneous but stores the elements in a single row. A dictionary is also a non-homogeneous data structure that stores key-value pairs. The dictionary doesn't allow duplicate keys.