Technical Interview Problems: Lists

A collection of common interview problems that use the Python List, and strategies for how to construct optimal solutions.

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Technical Interview Problems in Python: Lists
Lesson 1 of 1
  1. 1

    Lists are a fundamental data type in Python. Projects make extensive use of lists to store data in sequential order. You should expect at least one technical interview question that requires wo...

  2. 2

    For our first problem, we would like to "rotate" a list, or move elements forward in a list by a number of spaces, [...] . Elements at the greatest index will "wrap around" to the beginning o...

  3. 3

    Optimizing a solution means reducing the memory required (space complexity), or reducing the number of instructions the computer must execute (time complexity). Sometimes this means entirely reth...

  4. 4

    We'll continue our theme of list rotation by flipping the problem: given a sorted list rotated [...] times, return the index where the "unrotated" list would begin. [...] **Clarifying Que...

  5. 5

    Our last problem had a sorted dataset as the input. Sure, it was rotated, but it started out sorted. A sorted list gives us ways to leverage that ordering. After all, someone went through a lo...

  6. 6

    Duplicate values? Who needs them! Given a list of values with duplicates, return a list holding the same values in the same order with all duplicates removed. [...] This is a great problem...

  7. 7

    For the last problem our suggested solutions had [...] time and/or [...] space complexity. We can't improve the time complexity. We have to visit each value to determine whether or not it is a...

  8. 8

    Our next problem calculates sums within a list. Given a list of integers, return the maximum sum possible from a contiguous sub-list. A sub-list is an uninterrupted portion of the list (up to...

  9. 9

    Our last solution had a cubic time complexity: [...] . One iteration for the length of the list [...] , inside another iteration for the length of the list [...] , inside the inner loop, we...

  10. 10

    We'll end with a classic interview question: given a list of integers and a "target" integer, return the first pair of indices whose values sum to the target. [...] *Clarifying Questions:...

  11. 11

    We'll explore a common trade-off: time vs. space. Our previous solution used nested [...] loops to iterate through each element in the list and then iterate again for each element in the lis...

  12. 12

    Lists are a fundamental data structure for any program. When faced with a technical interview problem using lists, here are a few strategies to keep in mind: * Be comfortable with variables which ...

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Technical Interview Problems: Lists

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