DSA in Python Course – Count Occurrences in Sorted Array | Binary Search Approach – Part 51 [Hindi]

🚀 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:

Count occurrences of a number in a sorted array with duplicates | Optimal Binary Search

👉 📄 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

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