A practical tour of arrays, hash maps, stacks, queues, trees, heaps, and graphs in Python, and where each one quietly shows up in AI tools, from top-k search to agent workflows.
Learn when to use lists, dictionaries, tuples, and sets in Python, why some are thousands of times faster than others, and how to avoid a classic copying bug.
Day 1 of the DSA Mastery Series — the concept every post after this one leans on
Arrays, memory, and the real cost of insert and delete — the loop that quietly keeps what it was told to remove
A data structure that says 'definitely not' with total certainty, and 'probably yes' with a small, precisely measurable error rate.
