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Pinduoduo·Software Engineer·Technical Phone Screen·Intermediate

IntermediatePrefer not to say
Apr 2026

Summary

Pinduoduo coding round, pretty standard algorithms stuff. Got a grouping problem that I've seen before but still fumbled the explanation a bit.

Questions Asked (1)

Q1

Given an array of strings, group all strings that are anagrams of each other and return the groups as a list of lists.

Algorithms & Data Structures
Author's notes

I knew this one.

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AI HintsAI Generated

Suggested Approach

Use a hash map to group strings by a canonical key that is identical for all anagrams, such as the sorted string or a character count signature. Iterate through the input array, compute the key for each string, and append the string to the corresponding group. Finally, return the values of the hash map as a list of lists.

Pro tip: Discuss the trade-offs between sorting each string (O(k log k) per string) and using a character count array (O(k) per string) as the key, and mention that the character count approach can be more efficient for long strings or large alphabets.

1. Clarify and Confirm

Ask clarifying questions about input constraints, such as string length, character set, and whether the output order matters. Confirm that anagrams are case-sensitive and that empty strings are considered anagrams of each other.

2. Choose a Canonical Key

Decide on a method to generate a unique key for each anagram group. Common approaches are sorting the string or using a character frequency count. Explain why the key must be identical for all anagrams.

3. Design the Algorithm

Outline the steps: initialize a hash map, iterate over each string, compute its key, and add the string to the list associated with that key. Mention that the map's values will be the final groups.

4. Analyze Complexity

State the time and space complexity. For sorting approach: O(n * k log k) time, O(n * k) space. For counting approach: O(n * k) time, O(n * k) space. Discuss trade-offs.

5. Handle Edge Cases and Test

Consider edge cases like empty input, single string, strings with repeated characters, and Unicode characters. Walk through a small example to verify correctness.

Key Points to Mention

  • Hash map (dictionary) for grouping by canonical key
  • Sorting each string as key: O(k log k) per string
  • Character count array as key: O(k) per string, but requires fixed alphabet
  • Time and space complexity analysis
  • Edge cases: empty strings, single string, all anagrams, no anagrams
  • Potential follow-up: how to handle streaming input or very large datasets

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.