collect the items in the last column of matrix A using list comprehension

def dictionaries(): This is to review basic operations with dictionaries. # Create a dictionary that maps: # fruit => "apple" # quantity => 4 color => "green" # Get the item in dictionary f that the key "fruit" maps to # Increase the quantity of f by 1 # IMPLEMENT IT HERE # Create a nested dictionary where: # name => {first_name => "Grace", last_name => "Hopper"} (a dictionary) # jobs => ["scientist", "engineer") (a list) # age => 85 # Add "programmer" to the list of jobs Grace has # IMPLEMENT IT HERE # Get the third job Grace has that you recently added # Use the sort() function to get sorted keys of amazing_grace in alphabetically ascending order return a, f, P, k numbers_and_strings() lists() dictionaries() def dictionaries(): This is to review basic operations with dictionaries. # Create a dictionary that maps: # fruit => "apple" # quantity => 4 color => "green" # Get the item in dictionary f that the key "fruit" maps to # Increase the quantity of f by 1 # IMPLEMENT IT HERE # Create a nested dictionary where: # name => {first_name => "Grace", last_name => "Hopper"} (a dictionary) # jobs => ["scientist", "engineer") (a list) # age => 85 # Add "programmer" to the list of jobs Grace has # IMPLEMENT IT HERE # Get the third job Grace has that you recently added # Use the sort() function to get sorted keys of amazing_grace in alphabetically ascending order return a, f, P, k numbers_and_strings() lists() dictionaries() you do not need to care about afpk e.g. a is the result of the first