Python Lists With Code Examples

Python Lists are a data structure that is used to store multiple items. Square brackets are used to represent them in python [ ]. They can hold any data type including strings, numbers, and other lists. The list is stored in an order and they can be accessed through their index.




Consider an example where you create a list of your favorite fruits.

favorite_fruits = ["apple", "banana", "orange"]

In this list, you can access individual items by their index, which starts with zero for the first item.

Suppose you have to access the fruit apple, you will do it as follows





Inbuilt methods

Here are some commonly used functions and methods that can be used with Python Lists:


len() - returns the number of items in the list.

append() - adds an item to the end of the list.

insert() - adds an item at a specific index in the list.

remove() - removes an item from the list.

pop() - removes and returns the item at a specific index in the list.

index() - returns the index of the first occurrence of a specified item in the list.

count() - returns the number of times a specified item appears in the list.

sort() - sorts the items in the list in ascending order.

reverse() - reverses the order of the items in the list.

clear() - removes all items from the list.


Here are some code examples of these Functions:

# create a list of numbers

numbers = [3, 1, 4, 1, 5, 9, 2, 6]

# print the length of the list

print(len(numbers))  # output: 8

# add an item to the end of the list


# insert an item at a specific index

numbers.insert(0, 2)

# remove an item from the list


# remove and return an item at a specific index

popped_item = numbers.pop(3)

print(popped_item)  # output: 5

# get the index of an item in the list

index = numbers.index(4)

print(index)  # output: 3

# count the number of times an item appears in the list

count = numbers.count(5)

print(count)  # output: 1

# sort the list in ascending order


# reverse the order of the list


# remove all items from the list




Time and Space complexity

The time and space complexity of Python lists depends on the specific operation being performed.

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Read More....
Arrays and Lists in Python
Python Iterators
Lambda or Anonymous Functions in Python
Most common built-in methods in Python
Python Decorators
Python Dictionaries