Time and Space Complexity 😱🫢 How To Calculate Time complexity In Interview

Описание: Time Complexity Explained in 5 Minutes | Big-O Notation for Beginners
Are you confused about O(1), O(log n), O(n), and O(n²)?
In this video, I explain Time Complexity and Big-O Notation in the simplest way possible — perfect for BCA, B.Tech students and placement preparation.
If you are preparing for:
💼 Coding Interviews
🧠 DSA Practice
📚 College Exams
💻 Software Developer Jobs
Then this video is for you!
🔥 What You Will Learn:
✔ What is Time Complexity?
✔ Why Big-O Notation is important
✔ Difference between O(1), O(log n), O(n), O(n²)
✔ Which algorithm is faster and why
✔ How interviewers ask time complexity questions
Understanding time complexity helps you:
Write optimized code
Crack technical interviews
Improve problem-solving skills
Think like a real developer
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🎯 Goal: From BCA Student to Software #student #motivation #maa #collegelife #fectival #coding #maadurga #visarjan #collage Developer
#TimeComplexity #BigONotation #DSA #CodingInterview #PlacementPreparation #BCAStudents
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