# map filter zip reduce # map() my_list = [1,2,3] def multiply_by_two(item): return item*2 print(list(map(multiply_by_two, my_list))) print(my_list) # map here iteratw through databand create a #new list, the data will remain unchanged # filter() def only_odd(item): return item % 2 != 0 print(list(filter(only_odd, my_list))) # zip() your_list = [5,6,7] print(list(zip(my_list, your_list))) # reduce() from functools import reduce def accumulator(acc, item): return acc + item print(reduce(accumulator, my_list, 0)) #params are function, data , initial acc #EXCERCISE from functools import reduce #1 Capitalize all of the pet names and print the list my_pets = ['sisi', 'bibi', 'titi', 'carla'] def capitalize(string): return string.upper() print(list(map(capitalize, my_pets))) #2 Zip the 2 lists into a list of tuples, but sort the numbers from lowest to highest. my_strings = ['a', 'b', 'c', 'd', 'e'] my_numbers = [5,4,3,2,1] print(list(zip(my_strings, my_numbers))) #3 Filter the scores that pass over 50% scores = [73, 20, 65, 19, 76, 100, 88] def is_passed(score): return score > 50 print(list(filter(is_passed, scores))) #4 Combine all of the numbers that are in a list on this file using reduce (my_numbers and scores). What is the total?