🚀 Welcome to Part 51 of Code & Debug’s DSA Python Course!
In this video, we solve "Count Occurrences of a Number in a Sorted Array" using Binary Search, a crucial problem frequently asked in coding interviews.
📚 What you’ll learn in this video:
✅ Understanding the problem statement & constraints
✅ Efficient Binary Search approach (O(log n)) for counting occurrences
✅ Using First and Last Position Search to find count efficiently
✅ Step-by-step Python implementation
✅ Handling edge cases & edge scenarios
💡 Why is this problem important?
Counting occurrences efficiently is a key concept in searching, frequency analysis, and competitive programming. This method avoids unnecessary linear searches and optimizes performance in sorted arrays.
👉 Link to solve this question:
https://www.geeksforgeeks.org/problems/number-of-occurrence2259/1
👉 Refer the article below for better understanding:
https://codeanddebug.in/blog/count-occurrences-of-a-number-in-a-sorted-array-with-duplicates/
👉 📄 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 #CountOccurrences #DSAPythonCourse #PythonDSA #SortingAndSearching #CodeAndDebug #GeeksforGeeks #LearnPython #InterviewPrep
