Whether you’re preparing for interviews, building scalable apps, or just strengthening your fundamentals, mastering data structures is a must in software engineering. I recently came across an insightful list that breaks down the top data structure topics to focus on, especially if you’re serious about problem-solving and system design. You can read the full guide here 👉 Top 10 Data Structures Topics Explained
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At its core, data structures are ways of organising and storing data so you can access and modify it efficiently. Some of the essentials include arrays and linked lists, which handle sequential data storage and dynamic insertion/deletion; stacks and queues, which enforce specific access patterns; and trees and graphs, which model hierarchical and networked relationships. Understanding these, along with structures like hash tables for fast lookup and heaps/priority queues for efficient selection, significantly improves your ability to write optimized code and tackle algorithmic challenges
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