💻 Data Structures and Algorithms with Python - Binary Tree
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Atharva Shah🔱
📘 Over 30 commonly asked Binary Tree interview questions from FAANG and top-tier companies
💡 Python solutions for efficient problem-solving
💻 Access to a convenient code editor for hands-on practice
🔍 Detailed explanations to understand underlying concepts
💪 Boost your coding skills and nail interviews
🎯 Prepare for success with this must-have interview preparation resource
EXPERT CURATED LIST! GUARANTEED INTERVIEW CLEARANCE.
SOLUTIONS EXPLAINED IN THIS INTERVIEW GUIDE:
- Level order traversal AKA BFS
- Reverse Level Order traversal
- Height of a tree
- Diameter of a tree
- Mirror of a tree / Invert Binary Tree
- Inorder, Preorder and Postorder Tree Traversal (Recursive Method)
- Left View of a tree
- Right View of Tree
- Top View of a tree
- Bottom View of a tree
- Zig-Zag traversal of a binary tree
- Check if a tree is balanced or not
- Diagonal Traversal of a Binary tree
- Boundary traversal of a Binary tree
- Construct Binary Tree from String with Bracket Representation
- Convert Binary tree into Doubly Linked List
- Convert Binary tree into Sum tree
- Construct Binary tree from Inorder and preorder traversal
- Find minimum swaps required to convert a Binary tree into BST
- Check if Binary tree is Sum tree or not
- Check if all leaf nodes are at same level or not
- Check if a Binary Tree contains duplicate subtrees of size 2 or more
- Check if 2 trees are mirror or not
- Sum of Nodes on the Longest path from root to leaf node
- Check if given graph is tree or not
- Find Largest subtree sum in a tree
- Maximum Sum of nodes in Binary tree such that no two are adjacent
- Print all "K" Sum paths in a Binary tree
- Find Least Common Ancestor in a Binary tree
- Find distance between 2 nodes in a Binary tree
- Kth Ancestor of node in a Binary tree
- Find all Duplicate subtrees in a Binary tree
- Tree Isomorphism Problem
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Master FAANG Interviews: 25+ frequently asked Binary Tree problems with solutions and comprehensive explanations. Boost Skills, Get Paid!
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