Time & Space Complexity | Unit-1 | Academic DSA Series | NSUT | FHD | Bhavik Pahwa скачать в хорошем качестве

Time & Space Complexity | Unit-1 | Academic DSA Series | NSUT | FHD | Bhavik Pahwa

Welcome to Lecture 3 of the Academic DSA Series for NSUT, presented by First Hand Devs (FHD). Unit-1 Notes :- 1) https://drive.google.com/file/d/19kL_... 2) https://drive.google.com/file/d/1tY98... In this lecture, we focus on one of the most important ideas in Data Structures & Algorithms — Time and Space Complexity. Understanding complexity is what separates blindly writing code from writing efficient and correct solutions. It tells you why two programs that do the same thing can behave very differently in real life — in speed, memory, and scalability. This session is designed to help you build intuition about performance: not just learning formulas, but understanding how to think about the cost of an algorithm. This lecture will help you: • Compare different approaches to the same problem • Predict how code will behave as input size grows • Understand why some solutions pass and others fail • Prepare for both DSA exams and future problem-solving Time and space complexity is the lens through which all upcoming topics — searching, sorting, recursion, stacks, trees, and graphs — will be viewed. If you get this right now, the rest of DSA becomes logical instead of mechanical. This is a pure academic DSA series, focused on: clarity over memorization reasoning over shortcuts understanding over guessing 📌 Stay tuned as we continue building the DSA foundation step by step.