The list, which is an integral part of daytime Python programming, should be learned by all python users, and knowing its usefulness and operations is essential and always a plus. So this article discusses one such search utility, no. items in the list.
Method 1: Naive method
This method simply starts a loop and increments the counter to the last item in the list to find out quantity. This is the most basic strategy that can be used in the absence of other existing methods.
Code # 1: Demonstration of determining the length of a list using a naive method

Output:
The list is: [1, 4, 5, 7 , 8] Length of list using naive method is: 5
Method 2: using len()
The len ()
method offers the most used and simplest way to find the length of any list. This is the most widely accepted method, accepted by all programmers today.

Output:
The length of list is: 4
# Python program to demonstrate how it works
# len ()
n
=
len
([
10
,
20
,
30
])
print
(
"The length of list is: "
, n)
Exit :
The length of list is: 3
Method 3: Using length_hint ()
This method is a lesser known method for determining the length of a list. This particular method is defined in the operator class and it may also say no. elements present in the list.
Code # 2: Demonstration of determining the length of a list using len ()
and length_hint ()

Output:
The list is: [1, 4, 5, 7, 8] Length of list using len () is: 5 Length of list using length_hint () is: 5
Analysis performance — Naive versus len ()
versus length_hint()
When choosing among alternatives it is always necessary to have a good reason to choose one from another. This section analyzes the time it takes to complete all of them to suggest the best choice to use.
Code # 3: Performance Analysis

Output:
The list is: [1, 4, 5, 7, 8] Time taken using naive method is: 2.6226043701171875e06 Time taken using len () is: 1.1920928955078125e06 Time taken using length_hint () is: 1.430511474609375e06
< strong> Conclusion: clearly shows that the time taken to do this is naive"" length_hint ()
" len () hence len ()
— the best choice to use.