💻 Data Structures and Algorithms with Python - Binary Search Tree
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Atharva Shah🔱
📘 Over 20 commonly asked Binary Search 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:
- Find a value in a BST
- Deletion of a node in a BST
- Find min and max value in a BST
- Find inorder successor and inorder predecessor in a BST
- Check if a tree is a BST or not
- Populate Inorder successor of all nodes
- Find LCA of 2 nodes in a BST
- Construct BST from preorder traversal
- Convert Binary tree into BST
- Convert a normal BST into a Balanced BST
- Merge two BST
- Find Kth largest element and Kth smallest element in a BST
- Count pairs from 2 BST whose sum is equal to given value "X"
- Find the median of BST in O(n) time and O(1) space
- Count BST nodes that lie in a given range
- Replace every element with the least greater element on its right
- Given "n" appointments, find the conflicting appointments
- Preorder to Postorder
- Check whether BST contains Dead end
- Largest BST in a Binary Tree
- Flatten BST to sorted list
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Master FAANG Interviews: 20+ frequently asked Binary Search Tree problems with solutions and comprehensive explanations. Boost Skills, Get Paid!
Pages
Size
1.97 MB
Length
40 pages
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