Summary
Full Transcript
🚀 Welcome to Part 49 of Code & Debug’s DSA in Python Course! In this lecture, we solve the Floor and Ceil in a Sorted Array problem using Binary Search, a common technique in coding interviews & competitive programming. 📚 What you’ll learn in this video: ✅ Understanding Floor & Ceil concepts in a sorted array ✅ Efficient Binary Search approach for O(log n) solution ✅ Handling edge cases & constraints ✅ Step-by-step Python implementation ✅ Time and space complexity analysis 💡 Why is this problem important? Finding floor and ceil is crucial for range queries, optimization problems, and search algorithms. It’s frequently asked in FAANG interviews & CP contests. 👉 Link to solve this question: https://www.naukri.com/code360/problems/ceiling-in-a-sorted-array_1825401 👉 Refer the article below for better understanding: https://codeanddebug.in/blog/ceil-the-floor/ 👉 📄 Access the full YouTube DSA Playlist Sheet (All Questions in Order): 🔗 https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing 👉 Enroll in the free DSA Python course here: https://codeanddebug.in/course/master-dsa-with-leetcode 👉 Enroll for Self-Paced Advance DSA course here: https://codeanddebug.in/course/zero-to-hero-python-dsa 🙏 Thank you for supporting Code & Debug! Don’t forget to like, share, and subscribe to our channel. Hit the 🔔 bell icon to stay updated with our latest lectures. #BinarySearch #Leetcode35 #SearchInsertPosition #DSAPythonCourse #PythonDSA #InterviewPrep #CodeAndDebug #LeetcodeSolutions #LearnPython
