Tutorial by Examples

Given a list comprehension you can append one or more if conditions to filter values. [<expression> for <element> in <iterable> if <condition>] For each <element> in <iterable>; if <condition> evaluates to True, add <expression> (usually a function...

List Comprehensions can use nested for loops. You can code any number of nested for loops within a list comprehension, and each for loop may have an optional associated if test. When doing so, the order of the for constructs is the same order as when writing a series of nested for statements. The ge...

The filter or map functions should often be replaced by list comprehensions. Guido Van Rossum describes this well in an open letter in 2005: filter(P, S) is almost always written clearer as [x for x in S if P(x)], and this has the huge advantage that the most common usages involve predicates tha...

Nested list comprehensions, unlike list comprehensions with nested loops, are List comprehensions within a list comprehension. The initial expression can be any arbitrary expression, including another list comprehension. #List Comprehension with nested loop [x + y for x in [1, 2, 3] for y in [3, 4...

For iterating more than two lists simultaneously within list comprehension, one may use zip() as: >>> list_1 = [1, 2, 3 , 4] >>> list_2 = ['a', 'b', 'c', 'd'] >>> list_3 = ['6', '7', '8', '9'] # Two lists >>> [(i, j) for i, j in zip(list_1, list_2)] [(1, '...