
Understanding Big O notation is non-negotiable for coding interviews at top tech companies and software engineering roles. Beyond interviews, it’s a cornerstone of designing scalable systems—whether optimizing database queries for millions of users or selecting the right data structure for real-time applications. This guide breaks down Big O complexities with real-world examples and actionable insights.
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