Summary
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Welcome to Part 106 of Code & Debug’s DSA in Python Course! In this foundational lecture, we dive into Binary Trees (BTs)—what they are, how they’re structured, and the many specialized forms you’ll encounter throughout data-structures interviews. 📚 What you’ll learn in this video: ✅ Core terminology: nodes, root, parent, child, leaf, height, depth, level ✅ Binary Tree vs. General Tree vs. Binary Search Tree (BST) ✅ Visual intuition: how pointers/links represent “left” and “right” children ✅ Detailed walk-through of major BT variants: • Full (Proper) Binary Tree • Perfect Binary Tree • Complete Binary Tree • Skewed Binary Tree (left & right) • Balanced Binary Tree (incl. AVL / Red-Black preview) 💡 Why is this important? Binary Trees have a huge chunk of interview-level data structures. Grasping their structure and variants will make future topics—like traversals, heaps, segment trees, and balanced search trees—much easier to master. 👉 Suggested reading & practice: 📌 GeeksforGeeks Binary Tree Basics: https://www.geeksforgeeks.org/binary-tree-data-structure/ 👉 📄 Access the full YouTube DSA Playlist Sheet (All Questions & Topics in Order): 🔗 https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing 👉 Enroll in this FREE DSA Python course here: 🔗 https://codeanddebug.in/course/master-dsa-with-leetcode 👉 Enroll for Self-Paced Advanced 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. Hit the 🔔 bell icon so you never miss the next lecture. 🔖 Hashtags: #BinaryTree #DataStructures #DSAPythonCourse #PythonDSA #CodeAndDebug #BinaryTreeTypes #CodingInterviews #Part106 #TreeDSA
