Time and Space Complexity 😱🫢 How To Calculate Time complexity In Interview скачать в хорошем качестве

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

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 📌 Subscribe for more DSA & Placement content 🎯 Goal: From BCA Student to Software #student #motivation #maa #collegelife #fectival #coding #maadurga #visarjan #collage Developer #TimeComplexity #BigONotation #DSA #CodingInterview #PlacementPreparation #BCAStudents If you want, I can also give: 📌 Pinned comment idea 🎥 Video intro script (30 sec powerful opening) 🔥 Tags for better reach 📈 Thumbnail text improvement for higher CTR #dsa #programming #problemsolving #interview # #student #collegelife ‪@CodeWithHarry‬ ‪@ApnaCollegeOfficial‬ ‪@LoveBabbar‬ ‪@TheAdityaVerma‬ ‪@dhruvrathee‬ ‪@EnglishConnectionByKanchan‬ ‪@souravjvlogs‬