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 - Combination Sum | Recursion & Backtracking | Leetcode 39 - Part 75 [Hindi]

πŸš€ Welcome to Part 75 of Code & Debug’s DSA in Python Course! In this lecture, we solve Leetcode 39: Combination Sum, a fundamental Recursion & Backtracking problem that helps in understanding combinatorial sum generation and subset problems. πŸ“š What you’ll learn in this video: βœ… Understanding the problem statement & constraints βœ… Recursive Backtracking approach to generate valid combinations βœ… Avoiding duplicate combinations using pruning techniques βœ… Time complexity analysis and best practices βœ… Handling edge cases efficiently πŸ’‘ Why is this important? This problem is widely asked in FAANG interviews and strengthens your grasp of Recursion, Backtracking, and Dynamic Programming. Mastering it will help in solving problems like Subset Sum, Partition Equal Subset Sum, and Coin Change Problems. πŸ‘‰ Link to solve this question: https://leetcode.com/problems/combination-sum/description/ πŸ‘‰ Refer the article below for better understanding: https://codeanddebug.in/blog/combination-sum/ 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 #Backtracking #CombinationSum #CombinatorialGeneration #PythonDSA #DSAPythonCourse #Leetcode39 #CodeAndDebug #CompetitiveProgramming #CodingInterviews #Part75


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