Data Structures and Algorithms with Python | Free DSA with Python Course DSA in Python Course - Backtracking | Check if a Subsequence with Sum = K Exists | Part 71 [Hindi]
DSA in Python Course - Backtracking | Check if a Subsequence with Sum = K Exists | Part 71 [Hindi] Transcript and Lesson Notes
🚀 Welcome to Part 71 of Code & Debug’s DSA in Python Course! In this lecture, we tackle an important Advanced Recursion problem: Checking if there exists a subsequence with sum K using Recursion & Backtracking. This is
Quick Summary
🚀 Welcome to Part 71 of Code & Debug’s DSA in Python Course! In this lecture, we tackle an important Advanced Recursion problem: Checking if there exists a subsequence with sum K using Recursion & Backtracking. This is
Key Takeaways
- Review the core idea: 🚀 Welcome to Part 71 of Code & Debug’s DSA in Python Course! In this lecture, we tackle an important Advanced Recursion problem: Checking if there exists a subsequence with sum K using Recursion & Backtracking. This is
- Understand how python fits into DSA in Python Course - Backtracking | Check if a Subsequence with Sum = K Exists | Part 71 [Hindi].
- Understand how course fits into DSA in Python Course - Backtracking | Check if a Subsequence with Sum = K Exists | Part 71 [Hindi].
- Understand how backtracking fits into DSA in Python Course - Backtracking | Check if a Subsequence with Sum = K Exists | Part 71 [Hindi].
- Understand how check fits into DSA in Python Course - Backtracking | Check if a Subsequence with Sum = K Exists | Part 71 [Hindi].
Key Concepts
Full Transcript
🚀 Welcome to Part 71 of Code & Debug’s DSA in Python Course! In this lecture, we tackle an important Advanced Recursion problem: Checking if there exists a subsequence with sum K using Recursion & Backtracking. This is a crucial concept in Dynamic Programming, Combinatorial Optimization, and Subset Sum Problems. 📚 What you’ll learn in this video: ✅ Understanding the problem statement & constraints ✅ Recursive approach to check for valid subsequence ✅ Optimizing using Backtracking to reduce redundant calls ✅ Time complexity analysis of the recursive approach ✅ Handling edge cases efficiently 💡 Why is this important? This problem lays the foundation for Subset Sum, Partitioning Problems, and Dynamic Programming. It is commonly asked in FAANG interviews and helps in solving optimization problems using recursion and backtracking. 👉 Link to solve this question: https://www.geeksforgeeks.org/problems/check-if-there-exists-a-subsequence-with-sum-k/0 👉 Refer the article below for better understanding: https://codeanddebug.in/blog/check-if-there-exists-a-subsequence-with-sum-k/ 👉 📄 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. #Recursion #SubsequenceSumK #SubsetSum #Backtracking #PythonDSA #DSAPythonCourse #CodeAndDebug #CompetitiveProgramming #CodingInterviews #Part71
Lesson FAQs
What is DSA in Python Course - Backtracking | Check if a Subsequence with Sum = K Exists | Part 71 [Hindi] about?
🚀 Welcome to Part 71 of Code & Debug’s DSA in Python Course! In this lecture, we tackle an important Advanced Recursion problem: Checking if there exists a subsequence with sum K using Recursion & Backtracking. This is
What key concepts are covered in this lesson?
The lesson covers python, course, backtracking, check, subsequence.
What should I learn before DSA in Python Course - Backtracking | Check if a Subsequence with Sum = K Exists | Part 71 [Hindi]?
Review the previous lessons in Data Structures and Algorithms with Python | Free DSA with Python Course, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: python, course, backtracking, check.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
Is this lesson free?
Yes. CourseHive lessons and courses are available to learn online for free.
