CrackML by @ml.with.umang
Interview questions / Python & DSA
Python & DSA interview question

Sliding Window Average

Return the average for every fixed-size sliding window.

easycodingEvidence 77/1001 source reportMeta

The 60-second answer

Use a rolling sum updated by adding the entering value and subtracting the leaving value. Target O(n) time and O(1) auxiliary space.

Build the answer in this order

1
Clarify constraints

Use a rolling sum updated by adding the entering value and subtracting the leaving value.

2
Choose the approach

Target O(n) time and O(1) auxiliary space.

3
Prove complexity

Call out edge cases such as window size 1, k>n, numeric overflow, and floating-point precision.

4
Test edge cases

Explain the invariant before coding, then dry-run a small case and state time/space complexity.

A useful interview mental model

This is the shape of a strong answer—not a script to memorize.

01Clarify
02Approach
03Implement
04Test
05Complexity

Senior-level signal

  • State numeric type choices explicitly for large integer streams.
  • Explain how the solution changes for weighted windows or streaming input.

What the interviewer is really testing

Problem decomposition, correctness, data-structure choice, complexity reasoning, and clean implementation under pressure.

Likely follow-up questions

Can you improve the time or space complexity?
Which edge case is most likely to break this solution?
How would you test this under interview time pressure?

Common weak-answer patterns

  • Starting to code before constraints are clear.
  • Giving complexity without explaining why it is correct.
  • Skipping adversarial and boundary cases.