The following program includes fictional sets of the top 10 male and female baby names for the current year. write a program that creates: a set all_names that contains all of the top 10 male and all of the top 10 female names. a set neutral_names that contains only names found in both male_names and female_names. a set specific_names that contains only gender specific names. sample output for all_names: {'michael', 'henry', 'jayden', 'bailey', 'lucas', 'chuck', 'aiden', 'khloe', 'elizabeth', 'maria', 'veronica', 'meghan', 'john', 'samuel', 'britney', 'charlie', 'kim'} note: because sets are unordered, they are printed using the sorted() function here for comparison.

Answer code is given below and explained step by step with comments. Output is given at the end of code as well as attached as an image. Happy Learning!

Explanation:

Code:

Male_Names ={'Michael','Henry','Jayden','Bailey','Lucas','Chuck','Aiden',' John','Samuel','Charlie'}  # array to store Male Names

Female_Names= {'Khloe','Elizabeth','Maria','Veronica','Meghan','Britney', 'Kim','Bailey', 'Jayden', 'Aiden'} # array to store Female Names

All_Names = Male_Names.union(Female_Names) # the union will return all the names found in Male_Names + Female_Names and if there are any duplicate names then they will appear only once

Neutral_Names = Male_Names.intersection(Female_Names)  # the intersection will return only those names which are common in both Male_Names and Female_Names hence they will be neutral names

Specific_Names = Male_Names.symmetric_difference(Female_Names)  # the symmetric_difference will return only those names which are not common in Male_Names and Female_Names hence they will be Male Names and Female Names

print(All_Names)   # to print all the names

print(Neutral_Names) # to print neutral names

print(Specific_Names) # to print specific names

print(sorted(All_Names)) # to print all the names in ascending order

print(sorted(Neutral_Names))  # to print neutral names in ascending order

print(sorted(Specific_Names))  # to print specific names in ascending order

Notice that male and female names are 10 each

In both of these lists 3 names are common

so there are 7 unique male names and 7 unique female names

All_Names must return 7 unique male names, 7 unique females names and 3 common names = 7+7+3= 17 names

Neutral_Names must return 3 common names

Specific_Names must return 7 male males and 7 female names

7+7= 14 names  

OUTPUT:

Unsorted:

{'Henry', 'Bailey', 'Elizabeth', 'John', 'Chuck', 'Britney', 'Lucas', 'Khloe', 'Charlie', 'Aiden', 'Jayden', 'Kim', 'Samuel', 'Maria', 'Michael', 'Veronica', 'Meghan'}

{'Bailey', 'Jayden', 'Aiden'}

{'Henry', 'Elizabeth', 'John', 'Chuck', 'Britney', 'Lucas', 'Khloe', 'Kim', 'Maria', 'Veronica', 'Charlie', 'Samuel', 'Michael', 'Meghan'}

Sorted:

{'Aiden', 'Bailey', 'Britney', 'Charlie', 'Chuck', 'Elizabeth', 'Henry', 'Jayden', 'John', 'Khloe', 'Kim', 'Lucas', 'Maria', 'Meghan', 'Michael', 'Samuel', 'Veronica'}

{'Aiden', 'Bailey', 'Jayden'}

{'Britney', 'Charlie', 'Chuck', 'Elizabeth', 'Henry', 'John', 'Khloe', 'Kim', 'Lucas', 'Maria', 'Meghan', 'Michael', 'Samuel', 'Veronica'}

professionals can use many types of technology that can them. some examples are, computers (they research and can use for programs for data, they are also used for job applications, school work, and even to make new ideas), speedometers (can get data for unknown data), sometimes something as small as a pen (used for rough drafts, to insert data, and again job applications).

answer(a) occurs after your prediction;