Python List
Python lists are one of the most versatile and widely used data structures in the language. They allow you to store and manipulate collections of items, making it easier to handle groups of data. Whether you’re working with numbers, strings, or even other lists, Python lists are essential tools in every programmer’s toolkit. In this blog, we will dive deep into Python lists, their features, and how to work with them through various examples.
A list in Python is an ordered collection of items that can be of different data types, including integers, strings, floats, or even other lists. Lists are mutable, meaning you can change their content after they are created.
To create a list in Python, you simply use square brackets []
and separate the items with commas.
Example:
my_list = [10, 20, 30, 40]
print(my_list) # Output: [10, 20, 30, 40]
A list can contain different types of data, such as integers, strings, and even other lists.
Example:
my_list = [1, "hello", 3.14, [2, 4]]
print(my_list) # Output: [1, 'hello', 3.14, [2, 4]]
To access the elements of a list, you can use indexing. Python uses zero-based indexing, meaning the first item in the list has an index of 0.
You can access a specific item in the list by using its index.
Example:
my_list = [10, 20, 30, 40]
print(my_list[0]) # Output: 10
print(my_list[2]) # Output: 30
You can also use negative indexing to access elements from the end of the list.
Example:
my_list = [10, 20, 30, 40]
print(my_list[-1]) # Output: 40
print(my_list[-2]) # Output: 30
Slicing allows you to access a range of elements in a list using the format [start:end]
.
Example:
my_list = [10, 20, 30, 40, 50]
print(my_list[1:4]) # Output: [20, 30, 40]
Since Python lists are mutable, you can modify the elements in a list after it's created.
You can change the value of an element by accessing it using its index.
Example:
my_list = [10, 20, 30, 40]
my_list[1] = 25
print(my_list) # Output: [10, 25, 30, 40]