# 11. List Comprehensions¶

The previous example creates a list from a sequence of values based on some selection criteria. An easy way to do this type of processing in Python is to use a list comprehension. List comprehensions are concise ways to create lists. The general syntax is:

[<expression> for <item> in <sequence> if  <condition>]


where the if clause is optional. For example,

The expression describes each element of the list that is being built. The for clause iterates through each item in a sequence. The items are filtered by the if clause if there is one. In the example above, the for statement lets item take on all the values in the list my_list. Each item is then squared before it is added to the list that is being built. The result is a list of squares of the values in my_list.

To write the primes_up_to function we will use the is_prime function to filter the sequence of integers coming from the range function. In other words, for every integer from 2 up to but not including n, if the integer is prime, keep it in the list.

def primes_up_to(n):
""" Return a list of all prime numbers less than n using a list comprehension. """

result = [num for num in range(2,n) if is_prime(num)]
return result


What is printed by the following statements?

alist = [4,2,8,6,5]
blist = [num*2 for num in alist if num%2==1]
print(blist)

• [4,2,8,6,5]
• Items from alist are doubled before being placed in blist.
• [8,4,16,12,10]
• Not all the items in alist are to be included in blist. Look at the if clause.
• 10
• The result needs to be a list.
• [10].
• Yes, 5 is the only odd number in alist. It is doubled before being placed in blist.