FAQ: Technical Interview Problems in Python: Lists - Max list sub-sum: Naive

This community-built FAQ covers the “Max list sub-sum: Naive” exercise from the lesson “Technical Interview Problems in Python: Lists”.

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This exercise can be found in the following Codecademy content:

Technical Interview Practice: Python

FAQs on the exercise Max list sub-sum: Naive

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Hello! Just wanted to let you know that the solution described in the Hint for this exercise fails to account for the following edge-case: when the max sub-list sum is a single element that isn’t the first element. (e.g. [-2, 12, -3] should return 12, but the Hint’s solution returns 10.)

This is because the Hint defines i, j, and the test sub-lists such that the smallest sub-list is 2 elements. It defines them as:

for i in range(len(my_list)):
  for j in range(i + 1, len(my_list)):
    my_list[i:j + 1]

The solution that I did (which does look at single-element sub-lists) defines them as:

for i in range(len(my_list)):
  for j in range(i + 1, len(my_list) + 1):
    my_list[i:j]

Might be worth fixing!

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