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Python | Ways to find the length of a list

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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

 ` # Python code for demo ` ` # list length ` ` # using the naive method `   ` # Initializing list ` ` test_list ` ` = ` ` [` ` 1 ` `, ` ` 4 ` `, ` ` 5 ` `, ` ` 7 ` `, ` ` 8 ` `] `    ` # Print test_list ` ` print ` ` (` ` "The list is:" ` ` + ` ` str ` ` (test_list)) ` ` `  ` # Find the length of the list ` ` # using a loop ` ` # Initialization counter ` ` counter ` ` = ` ` 0 ` ` for ` ` i ` ` in ` ` test_list: ` ` `  ` ` ` # increment counter ` ` counter ` = ` counter ` ` + ` ` 1 `   ` # List print length ` ` print ` ` (` ` "Length of list using naive method is:" ` ` + ` ` str ` ` (counter)) `

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.

 ` # Python demonstration program ` ` # len () ` ` a ` ` = ` ` [ ] ` ` a.append (` ` "Hello" ` `) ` ` a.append (` ` "Geeks" ` `) ` ` a.append (` `" For "` `) ` ` a.append (` `" Geeks "` `) ` ` print ` ` (` ` "The length of list is:" ` `, ` ` len ` ` (a)) `

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 () `

 ` # Python code for demonstration ` ` # length of the list ` ` # using len () and length_hint ` ` from ` ` operator ` ` import ` ` length_hint `   ` # Initializing list ` ` test_list ` ` = ` ` [` ` 1 ` `, ` ` 4 ` `, ` ` 5 ` `, ` ` 7 ` `, ` ` 8 ` `] `   ` # Print test_list ` ` print ` ` (` ` "The list is:" ` ` + ` ` str ` ` (test_list)) `   ` # Find the length of the list ` ` # using len () ` ` list_len ` ` = ` ` len ` ` (test_list) `   ` # Finding the length of the list ` ` # using length_hint () ` ` list_len_hint ` ` = ` length_hint (test_list)   ` # Print length list ` ` print ` ` (` ` "Length of list using len () is: "` ` + ` ` str ` ` (list_len)) ` ` print ` ` (` ` "Length of list using length_hint () is: "` ` + ` ` str ` ` (list_len_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

 ` # Python code for demo ` ` # list length ` ` # Analysis performance ` ` from ` ` operator ` ` import ` ` length_hint ` ` import ` ` time `   ` # Initializing list ` ` test_list ` ` = ` ` [` ` 1 ` `, ` ` 4 ` `, ` ` 5 ` `, ` ` 7 ` `, ` ` 8 ` `] `   ` # Print test_list ` ` print ` ` (` ` "The list is:" ` ` + ` ` str ` ` (test_list)) `   ` # Find the length of the list ` ` # using a loop ` ` # Initialization counter ` ` start_time_naive ` ` = ` ` time.time () ` ` counter ` ` = ` ` 0 ` ` for ` i ` in ` ` test_list: `   ` # increment counter ` ` counter ` ` = ` ` counter ` ` + ` ` 1 ` ` end_time_naive ` ` = ` ` str ` ` (time.time () ` ` - ` ` start_time_naive) `   ` # Find the length of the list ` ` # using len () ` ` start_time_len ` ` = ` ` time.time () ` ` list_len = len (test_list) `` end_time_len = str (time. time () - start_time_len)   # Find the length of the list # using length_hint () start_time_hint = time.time () list_len_hint = length_hint (test_list) end_time_hint = str (time .time () - start_time_hint)    # Print time for each print ( "Time taken using naive method is:" + end_time_naive) print ( "Time taken using len () is:" + end_time_len) print ( "Time taken using length_hint () is:" + end_time_hint) `

Output:

` The list is: [1, 4, 5, 7, 8] Time taken using naive method is: 2.6226043701171875e-06 Time taken using len () is: 1.1920928955078125e-06 Time taken using length_hint () is: 1.430511474609375e-06 `

< strong> Conclusion: clearly shows that the time taken to do this is naive"" ` length_hint () `" len () hence ` len () ` — the best choice to use.

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