![]() At last, we wrote one program to get the timing from each method. We have seen syntax for list comprehensions along with some good insightful examples. List comprehensions are compact and user-friendly. ![]() List comprehensions are easy to understand/ implement and makes code elegant. List comprehensions are used for creating lists from the iterative process. List comprehensions reduce the complexity of the code.There is no need to provide a separate command to get output.LC can perform multiple variable manipulations.We can nest multiple conditions in a list comprehension.It will decrease the execution time as well as maintain the user-friendliness of the code. However, one can use List comprehension in for loops to replace other for loops. It’s better to go for loops in such situations. In these cases, using LC could be quite cumbersome and not feasible also. But we can not replace loops there are some cases we have a good number of conditions and classes are nested in a loop. There could be speculation then why don’t we just use LC at all the places and not loops? LC is faster in most cases, and it can replace loops in almost 80% of cases. List comprehensions leave behind other methods with a great margin. They clearly run time of Listening comprehension is 2.85 times faster than for loop and 1.87 times faster than the map method. List ComprehensionsĮxample using the list comprehension given below: Map methodĮxample using the map method given below: First, we will see the time taken by “for loop”, and then the time is taken by the map() method, and at last, we will see the time taken by list comprehensions.Ī table shows the time taken by the different techniques. We will take example 1 for reference, and we will calculate the time taken by different methods to execute the same function. List comprehensions are way faster than for loop and other methods like a map.We can write the program with simple expressions. List Comprehensions are easy to understand and make code elegant.List comprehension has many advantages over the loop and other methods. List comprehensions perform the same task, but in a different way. ![]() Web development, programming languages, Software testing & othersĬode: This prevents us from having to store the entire list into memory, and is more efficient for larger data.Start Your Free Software Development Course It produces the same result, but rather than packing all of the items into a list first it yields them as we iterate through. This syntax without square brackets uses generator comprehension. ![]() This is because join takes any iterable data to include lists or genetators. Nonvowels = ''.join(l for l in sentence if not l in vowels) A generator comprehension is more appropriate: vowels = 'aeiou' Then we pass the resulting list to join() to convert it to a string.Įdit: As noted by iamadogwhatisthis on reddit, this example doesn't require a list comprehension. This example uses a list comprehension to create a list of letters from sentence that are not vowels. Or you can clean simplify using list comprehension: vowels = 'aeiou' We can do this easily in a few lines: vowels = 'aeiou' Suppose you have a sentence, sentence = 'Your mother was a hamster'Īnd you want to remove all of the vowels. Set comprehension has similar syntax to list comprehension so we can use the following: noprimes = set(j for i in range(2, 8) for j in range(i*2, 50, i)) Since noprimes should contain only unique values and we frequently have to check for the existence of a value, we should be using a set. Then we loop through a range of numbers and check to see if each number is in the list of non primes.Įdit: as pointed out by shoyer on reddit, using a set for finding noprimes is much more efficient. This list is generated by finding multiples of numbers 2-7. To find primes, we are first finding a list of non prime numbers. The first for loop is the outer loop, and the second for loop is the inner loop. The first line uses multiple for loops within one list comprehension. However, you can simplify this by using two list comprehensions. It would take quite a few lines of code to accomplish this normally.
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