How to Get the Length of a List in Python
Learn how to get the length of a list in Python with this easy-to-follow tutorial. Discover the concept, step-by-step explanations, code snippets, and expert insights. …
Updated May 22, 2023
Learn how to get the length of a list in Python with this easy-to-follow tutorial. Discover the concept, step-by-step explanations, code snippets, and expert insights.
Definition of the Concept
In programming, a list is an ordered collection of values that can be of any data type, including integers, strings, floats, etc. The length of a list refers to the number of elements it contains. In this article, we’ll explore how to get the length of a list in Python.
Step-by-Step Explanation
Here’s a simple step-by-step guide:
- Create a List: First, you need to create a list using square brackets
[]
. You can add values to the list by separating them with commas.
my_list = [1, 2, 3, 4, 5]
- Use the Len() Function: To get the length of the list, you’ll use the built-in
len()
function. This function takes one argument – your list.
list_length = len(my_list)
Code Explanation
Let’s break down the code snippet:
my_list
is the name given to our list containing integers from 1 to 5.len()
is a built-in Python function that returns the length of an object (in this case, a list).- The result of the
len()
function is assigned to the variablelist_length
.
Example Use Cases
Here are some example use cases:
- Counting Items: Suppose you have a list of items and want to count how many items are in it.
shopping_list = ["apple", "banana", "cherry"]
item_count = len(shopping_list)
print(item_count) # Output: 3
- Validating Input: When validating user input, you might use the
len()
function to ensure that a certain number of values are provided.
user_input = ["John", "Doe", "30"]
if len(user_input) == 3:
print("Input is valid")
else:
print("Invalid input")
Conclusion
Getting the length of a list in Python is straightforward. By using the len()
function, you can easily count the number of elements in any list. This fundamental concept is essential for working with data structures and performing various operations on lists. With this knowledge, you’ll be able to tackle more complex tasks and become proficient in Python programming!