{
  "id": 7303655,
  "title": "DSA: Topic 2: Hash Maps & Sets",
  "url": "https://urgent.news/2026/09/14/dsa-topic-2-hash-maps-sets",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-09-14T11:21:11.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/m_t_ramkrushna/dsa-topic-2-hash-maps-sets-52d8"
  },
  "original_language": "en",
  "account": null,
  "summary": "In this briefing, we discuss hash maps and sets, focusing on their applications in coding interviews. Hash maps, also known as dictionaries in Python, provide fast insertion, search, and deletion operations with an average time complexity of O(1). Sets, on the other hand, store unique elements and are useful when you only need to check for existence or remove duplicates. The article highlights common interview patterns involving hash maps and sets, such as frequency counting and fast lookup problems. For frequency counting, an example provided is finding the most frequent number in a list, while for fast lookup, the example is checking if an array contains duplicates.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}