list_comprehesion.py

# list compression = a way to create a new list with less syntax
#                     can mimic certain lambda functions, easier to read
#                     list = [expression for item in iterable]
#                     list = [expression for item in iterable if conditional]
#                     list = [expression if/else for item in iterable]

# squares = []                # create an empty list
# for i in range(1, 11):      # create a for loop
#     squares.append(i * i)   # define what each loop iteration should do
# print(squares)
#
# square = [i * i for i in range(1,11)]
# print(square)

students = [100,90, 80, 70, 60, 50, 40, 30, 0]

# passed_students = list(filter(lambda x: x >= 60, students))

# passed_students = [i for i in students if i >= 60]

passed_students = [i if i >= 60 else "FAILED" for i in students]

print(passed_students)