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

πŸš€ Welcome to the Free DSA with Python Course Playlist by Code & Debug! This comprehensive playlist is designed to help you master Data Structures and Algorithms (DSA) using Python, one of the most versatile programming languages. Whether you’re a beginner or preparing for coding interviews, this course is your one-stop solution to understanding and implementing DSA concepts effectively. 🎯 What you’ll learn in this playlist: βœ… Arrays, Linked Lists, Stacks, Queues, and Hashing βœ… Sorting Algorithms like Quick Sort, Merge Sort, and Bubble Sort βœ… Searching Techniques including Linear Search and Binary Search βœ… Advanced topics like Recursion, Dynamic Programming, and Graph Algorithms βœ… Real-world coding problems from Leetcode and other platforms πŸ’‘ Key features of this course: πŸ“Œ Beginner-friendly explanations πŸ“Œ Practical Python implementations πŸ“Œ Real coding interview questions πŸ“Œ Step-by-step problem-solving approach πŸ‘‰ Start learning for free today and level up your coding game! πŸ™ Don’t forget to subscribe to Code & Debug and hit the πŸ”” for notifications about our upcoming videos. Let’s make DSA with Python simple and fun together! #DSAWithPython #PythonDSA #DataStructuresAndAlgorithms #CodeAndDebug #FreeDSACourse #LearnPython #CodingInterviews

Curated by: Code and Debug (230 videos)


Currently Playing: DSA in Python Course - Backtracking | Check if a Subsequence with Sum = K Exists | Part 71 [Hindi]

πŸš€ 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. πŸ“š What you’ll learn in this video: βœ… Understanding the problem statement & constraints βœ… Recursive approach to check for valid subsequence βœ… Optimizing using Backtracking to reduce redundant calls βœ… Time complexity analysis of the recursive approach βœ… Handling edge cases efficiently πŸ’‘ 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. πŸ‘‰ Link to solve this question: https://www.geeksforgeeks.org/problems/check-if-there-exists-a-subsequence-with-sum-k/0 πŸ‘‰ Refer the article below for better understanding: https://codeanddebug.in/blog/check-if-there-exists-a-subsequence-with-sum-k/ πŸ‘‰ πŸ“„ Access the full YouTube DSA Playlist Sheet (All Questions in Order): πŸ”— https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing πŸ‘‰ Enroll in the free DSA Python course here: https://codeanddebug.in/course/master-dsa-with-leetcode πŸ‘‰ Enroll for Self-Paced Advance DSA course here: https://codeanddebug.in/course/zero-to-hero-python-dsa πŸ™ Thank you for supporting Code & Debug! Don’t forget to like, share, and subscribe to our channel. Hit the πŸ”” bell icon to stay updated with our latest lectures. #Recursion #SubsequenceSumK #SubsetSum #Backtracking #PythonDSA #DSAPythonCourse #CodeAndDebug #CompetitiveProgramming #CodingInterviews #Part71


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