Pharmaceutical company researchers summarized Python's comprehensions

Introduction

Here are some useful things to remember about Python's comprehensions.

List comprehension

nums = [1, 2, 3, 4, 5]

nums_double = [x * 2 for x in nums] #Double each element in the list nums
print(nums_double) # [2, 4, 6, 8, 10]

nums_even = [x for x in nums if x % 2 == 0]
print(nums_even) # [2, 4]

nums_2 = [[1, 2], [3, 4]]

nums_2_odd = [odd for nums in nums_2 for odd in nums]
print(nums_2_odd) # [1, 2, 3, 4]

nums_set = {1, 2, 3, 4, 5}

nums_set_square = {x**2 for x in nums_set}
print(nums_set_square) # {1, 4, 9, 16, 25}

nums_dict = {'one': 1, 'two': 2, 'three': 3}

nums_dict_rev = {value:key for key, value in nums_dict.items()}
print(nums_dict_rev) # {1: 'one', 2: 'two', 3: 'three'}

nums = [1, 2, 3, 4, 5]

nums_gen = (x for x in nums)
print(nums_gen) # generator object

for num in nums_gen:
    print(num)

print("\n".join("Fizz"*(n%3== 0) + "Buzz"*(n%5== 0) or str(n) for n in range(1,101)))

Summary

Here is a summary of Python's comprehensions. If you think you can use it, try using it to shorten the code.