python: set and dictionary comprehension
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@ -70,7 +70,7 @@ print('new_list:', new_list)
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By applying a condition (and no execution to each element) we effectively create a filter:
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```py
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numbers = [1, 2, 3, 4, 5]
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numbers = [1, 2, 3, 4, 4, 4]
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numbers_filtered = [i for i in numbers if i > 2]
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print(numbers_filtered)
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# [3, 4, 5]
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@ -82,11 +82,23 @@ For comparison, the same outcome could be achieved with a filter and lambda:
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with_filter = list(filter(lambda x: x > 2, numbers))
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print(with_filter)
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# [3, 4, 5]
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```
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// TODO: Compare with how the same would be achieved with lambdas
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## Set comprehension
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We can also apply comprehension to sets. The syntax is practically identical but the difference is the resultant data structure will not contain duplicates.
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```py
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numbers = [1, 2, 3, 4, 4, 4]
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unique = {i for i in numbers}
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print(unique)
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# {1,2,3,4}
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```
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## Dictionary comprehension
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// TODO: Add note on dictionary and set comprehension
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```py
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squares = {i: i * i for i in range(5)}
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print(squares)
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{0: 0, 1: 1, 2: 4, 3: 9, 4: 16, 5: 25}
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```
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