import pytest@pytest.fixture()def before_meth(scope=’module’): print(‘before_meth Setup’) yield print(‘teardown’)def inc(x): return x + 1def test_answer(before_meth): assert inc(3) == 4
import pytest@pytest.fixture()def before_meth(scope=’module’): print(‘before_meth Setup’) yield print(‘teardown’)def inc(x): return x + 1def test_answer(before_meth): assert inc(3) == 4
Learn about concatenation and repetition operators supported by Python sequence data types. Photo by Rishab Lamichhane on Unsplash Concatenation and Repetition in Python: In python, concatenations and repetitions
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1. By using filter() method a=[1,2,3,4,5,6,7,8,9,10] odd=filter(lambda x:x%2!=0, a) print (list(odd)) #Output:[1, 3, 5, 7, 9] 2.By using list comprehension a=[1,2,3,4,5,6,7,8,9,10] odd=[x for x in
Learning about dynamic view objects in Python Photo by Dmitry Ratushny on Unsplash Many languages have their own dictionaries, these are “general-purpose data structures for storing a
Learn about functools.reduce( ) and itertools.accumulate( ) in python. Photo by Markus Spiske on Unsplash reduce() vs accumulate reduce() The functools module is for higher-order functions. Functions