π§ Quiz: What is the most "Pythonic" way to create a new list containing the squares of numbers from an existing list called
A) Using a
B)
C) Using a
D)
β Correct answer:B
Explanation:This is a list comprehension. It's a concise, readable, and often faster way to create a new list from an iterable compared to a traditional loop. Option D creates a generator expression, not a list.
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nums?A) Using a
for loop and the .append() method.B)
new_list = [num**2 for num in nums]C) Using a
while loop with an index counter.D)
new_list = (num**2 for num in nums)β Correct answer:
Explanation:
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π§ Quiz: What is the most Pythonic way to create a new list containing the squares of numbers from 0 to 4?
A)
B)
C)
β Correct answer:A
Explanation:List comprehensions are a concise and highly readable way to create lists from other iterables. While the other options work, a list comprehension is generally considered the most "Pythonic" for its clarity and efficiency in this context.
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A)
squares = [x**2 for x in range(5)]B)
squares = list(map(lambda x: x**2, range(5)))C)
squares = []for x in range(5):squares.append(x**2)β Correct answer:
Explanation:
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Python tip:
itertools.zip_longest pairs elements from multiple iterables, but unlike the built-in
While
Exampleπ
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itertools.zip_longest pairs elements from multiple iterables, but unlike the built-in
zip(), it continues until the longest iterable is exhausted, padding shorter ones with a specified fillvalue.While
zip() truncates its output to the length of the shortest input, zip_longest() ensures no data is lost from longer inputs by substituting None (or a custom value) for missing items.Exampleπ
>>> import itertools
>>> students = ['Alice', 'Bob', 'Charlie', 'David']
>>> scores = [88, 92, 75]
>>> grades = list(itertools.zip_longest(students, scores, fillvalue='Absent'))
grades
[('Alice', 88), ('Bob', 92), ('Charlie', 75), ('David', 'Absent')]
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