Generator Comprehensions
Generator Comprehensions are very similar to list comprehensions. One difference between them is that generator comprehensions use circular brackets whereas list comprehensions use square brackets. The major difference between them is that generators don’t allocate memory for the whole list. Instead, they generate each value one by one which is why they are memory efficient. Let’s look at the following example to understand generator comprehension:
Python3
input_list = [1, 2, 3, 4, 4, 5, 6, 7, 7] output_gen = (var for var in input_list if var % 2 == 0) print("Output values using generator comprehensions:", end = ' ') for var in output_gen: print(var, end = ' ') |
Output:
Output values using generator comprehensions: 2 4 4 6
Comprehensions in Python
Comprehensions in Python provide us with a short and concise way to construct new sequences (such as lists, sets, dictionaries, etc.) using previously defined sequences. Python supports the following 4 types of comprehension:
- List Comprehensions
- Dictionary Comprehensions
- Set Comprehensions
- Generator Comprehensions