** Example :**

** Input: ** [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 , 12, 13, 14, 15, 16, 17, 18, 19, 20] ** Output: ** [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 , 14, 15, 16, 17, 18] ** Explanation: ** Segment 1 - [1, 2, 3, 4, 5] =" 15/5 = 3 Segment 2 - [2, 3, 4, 5, 6] =" 20/5 = 4 Segment 3 - [3, 4, 5, 6, 7] =" 25/5 = 5 and so on .....

** Method # 1: ** Using List Comprehension

` # Python code to find the average of each sequential segment ` ` ` ` # Initialization List ` ` Input ` ` = ` ` [` ` 1 ` `, ` ` 2 ` `, ` ` 3 ` `, ` ` 4 ` `, ` ` 5 ` `, ` ` 6 ` `, ` ` 7 ` `, ` ` 8 ` `, ` ` 9 ``, ` ` 10 ` `, ` ` 11 ` `, ` ` ` ` 12 ` `, ` ` 13 ` `, ` ` 14 ` `, ` ` 15 ` `, ` ` 16 ` `, ` ` 17 ` `, ` ` 18 ` `, ` ` 19 ` `, ` ` 20 ` `] ` ` ` ` # Define splits ` ` splits ` ` = ` ` 5 ` ` # Find the average for each sequential segment ` ` Output ` ` = ` ` [` ` sum ` ` (` ` Input ` ` [i: i ` ` + ` ` splits]) ` ` / ` ` splits ` ` for ` ` i ` ` in ` ` range ` ` (` ` len ` ` (` ` Input ` ` ) ` ` - ` ` splits ` ` + ` ` 1 ` `)] ` ` ` ` # output n and printing ` ` print ` ` (Output) ` |

** Exit:**

[3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0]

** Method # 2: ** Using ` mean `

functions

` # Python code to find the average of each sequential segment ` ` ` ` # Import ` ` from ` ` statistics ` ` import ` ` mean ` ` from ` ` itertools ` ` import ` ` islice ` ** **` # Initialization list ` ` Input ` ` = ` ` [` ` 1 ` `, ` ` 2 ` `, ` ` 3 ` `, ` ` 4 ` `, ` ` 5 ` `, ` ` 6 ` `, ` ` 7 ` `, ` ` 8 ` `, ` ` 9 ` `, ` ` 10 ` `, ` ` 11 ` `, ` ` 12 ` `, ` ` 13 ` `, ` ` 14 ` ` , ` ` 15 ` `, ` ` 16 ` `, ` ` 17 ` `, ` ` 18 ` `, ` ` 19 ` `, ` ` 20 ` `] ` ` # Find the average for each consecutive segment ` ` zip_list ` ` = ` ` zip ` ` (` ` * ` ` (islice (` ` Input ` `, i, ` ` None ` `) ` ` for ` ` i ` ` in ` ` range ` ` (` ` 5 ` `))) ` ` Output ` ` = ` ` list ` ` (` ` map ` ` ( mean , zip_list)) ` ` # output to print ` ` print ` ` (Output) ` |

** Exit:**

[3, 4, 5, 6, 7, 8, 9 , 10, 11, 12, 13, 14, 15, 16, 17, 18]