DSA Python 2025 - Advanced Recursion | Generate All Subsequences Using Recursion - Part 69 [Hindi]

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🚀 Welcome to Part 69 of Code & Debug’s DSA Python Course 2025! In this lecture, we dive into Advanced Recursion by solving the classic problem of Generating All Subsequences of an Array using Recursive Backtracking. This is a foundational problem in combinatorics, dynamic programming, and recursion-based problem-solving.

📚 What you’ll learn in this video:
✅ Understanding subsequences and their significance
✅ Recursive approach to generate all subsequences
✅ Time complexity analysis of recursion-based subset generation

💡 Why is this important?
Subsequence generation is widely used in Dynamic Programming (LCS, LIS problems), Backtracking (subset sum, partition problems), and Combinatorics. Mastering recursion is key to solving FAANG interview questions effectively.

👉 Leetcode problem link:

👉 Refer to the article for better understanding:

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#Recursion #Subsequences #Backtracking #PythonDSA #DSAPythonCourse #CodeAndDebug #DSA2025 #CompetitiveProgramming #CodingInterviews #Part69
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amazing...ty...i had a doubt...
While calclating space complexity why didnt we take into account thetwo lists (subset, result) ?

theundisputd
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is getting subsequences just like getting subset

rrahul
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