A user can search, add, shift, move, and delete elements from a list at their own will. Lists created in Python qualify to be mutable because they can be altered even after being created. An example of a nested list is as follows: There is no limit to the depth with which lists can be nested.

It can include another list or a sublist – which can subsequently contain other sublists itself. List_A = Lists can be nestedĪ list can be nested, which means that it can contain any type of object.

When creating a list, all the items in the list should be put in square brackets and separated by commas to let Python know that a list has been created. Since everything in Python is considered an object, creating a list is essentially creating a Python object of a specific type. The order of elements is an inherent characteristic that remains constant throughout the life of the list. The term “ordered collections” means that each item in a list comes with an order that uniquely identifies them.

Lists and tuples are the most useful data types, and they can be found in virtually every Python program.Ī list is defined as an ordered collection of items, and it is one of the essential data structures when using Python to create a project.

One of the differing points among the data structures is mutability, which is the ability to change an object after its creation.

Lists, sets, and tuples are the basic data structures in the Python programming language.

Use of basic data structures