Lists are used to store multiple items in a single variable. Lists are one of 4 built-in data types in Python used to store collections of data, the other 3 are Tuple, Set, and Dictionary, all with different qualities and usage.

September 30, 2023 - A list in Python is a collection of items that are ordered and changeable. Lists are created by placing a comma-separated sequence of items within square brackets []. Each item in a list can be of any data type, including integers, strings, floats, and even other lists.

January 23, 2026 - Python's built-in list type is defined using square brackets [ ] and elements are accessed using zero-based indexing. Assigning one list variable to another makes both variables point to the same list in memory.

August 4, 2026 - The most common way to create a list is by placing items inside square brackets [], separated by commas. For example, cart = ["T-shirt", "Lamp", "Pen"] print(cart) # A list of mixed data types my_list = [1, "Python", 3.14] print(my_list) # Empty list my_list = [] print(my_list)

June 26, 2026 - They’ll help you understand how to better use lists in your code. To get the most out of this tutorial, you should have a good understanding of core Python concepts, including variables, functions, and for loops. You’ll also benefit from familiarity with other built-in data types, such as strings, tuples, dictionaries, and sets.

3 days ago - We saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types — list, tuple, range). Since Python is an evolving language, other sequence data types may be added.

September 3, 2025 - Lists are versatile and can contain elements of different data types, including numbers, strings, and other lists. Lists are defined by enclosing elements in square brackets ([]) and separating them with commas. In this blog, I will describe everything about list in Python:

September 6, 2023 - Lists are heterogenous; they can accept objects of any type. What’s more, there is a separate array type in Python. The Python array is designed to emulate the behavior of an array in C, and it’s meant chiefly to allow Python to work with C arrays. The array type is useful in those cases, but in almost every pure-Python case you’ll want to use lists.

May 12, 2025 - Python has four main data structures split between mutable (lists, dictionaries, and sets) and immutable (tuples) types. Lists are useful to hold a heterogeneous collection of related objects.

List object is the more general sequence provided by Python. Lists are ordered collections of arbitrarily typed objects. They have no fixed size. In other words, they can hold arbitrary objects and can expand dynamically as new items are added.

Now we will go into other data types that can combine multiple values or strings. Lists are common data structures to hold a sequence of elements. We can create a list by putting values inside square brackets and separating the values with commas. ... Each element can be accessed by an index. The index of the first element in a list in Python is 0 (in some other programming languages that would be 1).

The built-in list data type is a versatile and widely-used data structure in Python that allows for the storage and manipulation of ordered, mutable sequences of elements.

In Python, lists are the built-in data structure that serves as a dynamic array. Lists are ordered, mutable, and can contain elements of different types.

List is one of the built-in data types in Python. A Python list is a sequence of comma separated items, enclosed in square brackets [ ]. The items in a Python list need not be of the same data type.

March 1, 2024 - Here's what a simple grocery list ... elements, called items or values, can be of different data types – numbers, strings, booleans, and even other lists (creating nested structures)....

A list is a data type in python. In other programming languages they are mostly called Arrays. Here's an example of one: numbers = [1, 2, 3, 4, 5] With list slices you can access list elements: print(numbers[0:5]) #prints all numbers in the list, because lists indexing starts from 0 print(numbers[0:5:2]) #prints only odd numbers (the first argument is what element to start from, second is what element to go to and third is step) Slices can also be used to reverse a list: print(numbers[::-1]).

Python list elements are are kept in a contiguous block, with index numbers 0..len-1. Therefore, deleting an element from a list, Python will automatically shift over the elements to its right to keep the elements contiguous. Del works with slices too, deleting a range deletes that sub-part of the list:

In Python, lists are a versatile data type that can contain multiple different data types within the same square brackets. The possible data types within a list include numbers, strings, other objects, and even other lists. ... In Python, you ...