Udemy - Tree Data Structure and Algorithms

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Udemy - Tree Data Structure and Algorithms (Size: 1.2 GB)
  001 Bonus Lecture.html 2.7 KB
  001 Inorder Traversal Introduction.mp4 70.6 MB
  001 Inorder Traversal Introduction_en.vtt 7.9 KB
  001 Introduction.mp4 38.6 MB
  001 Introduction_en.vtt 3.6 KB
  001 Trees Introduction.mp4 121.1 MB
  001 Trees Introduction_en.vtt 12.5 KB
  002 Binary Tree Introduction.mp4 50.5 MB
  002 Binary Tree Introduction_en.vtt 8.1 KB
  002 Highest level of a node.mp4 90.7 MB
  002 Highest level of a node_en.vtt 9.6 KB
  002 Q1) N'th node in an Inorder traversal.mp4 57.4 MB
  002 Q1) N'th node in an Inorder traversal_en.vtt 6 KB
  002 Searching in a BST.mp4 50.6 MB
  002 Searching in a BST_en.vtt 9.2 KB
  003 Copy a Tree.mp4 65.9 MB
  003 Copy a Tree_en.vtt 10 KB
  003 Insertion in a BST.mp4 101.1 MB
  003 Insertion in a BST_en.vtt 14.3 KB
  003 Q2) Inorder Predecessor.mp4 97.8 MB
  003 Q2) Inorder Predecessor_en.vtt 10.3 KB
  004 Deletion in a BST.mp4 131.5 MB
  004 Deletion in a BST_en.vtt 19.7 KB
  004 Expression Tree.mp4 94.1 MB
  004 Expression Tree_en.vtt 10.5 KB
  005 Sort the Nodes.mp4 20.7 MB
  005 Sort the Nodes_en.vtt 3.1 KB
  006 Lowest Common Ancestor in BST.mp4 102.9 MB
  006 Lowest Common Ancestor in BST_en.vtt 11.4 KB
  16430038-Inorder-traversal-intro-C.txt 819.2 B
  16430052-Nth-node-in-inorder-traversal-C.txt 1 KB
  16430064-Inorder-predecessor-C.txt 1.4 KB
  16430080-Preorder-and-postorder-intro-C.txt 1.1 KB
  16430100-Highest-Level-of-a-node-C.txt 1.1 KB
  16430108-Copy-a-tree-C.txt 1.3 KB
  16430130-Searching-in-BST-C.txt 1.2 KB
  16430150-Deletion-in-BST-C.txt 2.1 KB
  16609864-Insertion-in-BST-C.txt 1.7 KB
  16655898-Expression-Tree-C.txt 1.3 KB
  16655932-Sort-the-nodes-C.txt 819.2 B
  16655944-LCA-C.txt 1.2 KB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 45 total files

Description


Tree Data Structure and Algorithms
https://DevCourseWeb.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.15 GB | Duration: 2h 43m
Mastering the art of solving Tree problems and acing the Coding Interviews
What you'll learn
Be able to visualize the Tree data structure clearly.
Build a strong base for the most common tree based algorithms asked in the interviews.
Be able to break down a bigger problem into smaller and easily solvable sub-problems.
Understand what kind of problems are asked in the recent coding interviews.
Gain confidence for the coding interviews.

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