Data Structures and Algorithms with Python | Free DSA with Python Course - 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: 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