Lynda - Python Data Structures: Trees

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Lynda - Python Data Structures: Trees (Size: 467.1 MB)
  0 1 KB
  001 Adding nodes-en.srt 5.4 KB
  001 Adding nodes.mp4 10.9 MB
  001 Building a basic tree-en.srt 7.3 KB
  001 Building a basic tree.mp4 11.7 MB
  001 Getting started with trees-en.srt 2.5 KB
  001 Introduction to rotations-en.srt 9.2 KB
  1 43.7 KB
  001 Getting started with trees.mp4 15.7 MB
  001 Introduction to rotations.mp4 90.7 MB
  001 Next steps with data structures-en.srt 3.1 KB
  001 Next steps with data structures.mp4 2.8 MB
  002 Deleting nodes_ Theory-en.srt 6.1 KB
  002 Deleting nodes_ Theory.mp4 50.8 MB
  002 Rotating trees in Python.mp4 15.6 MB
  2 253.2 KB
  002 Rotating trees in Python-en.srt 7.2 KB
  002 Searching a tree-en.srt 6.1 KB
  002 Searching a tree.mp4 19.3 MB
  002 What you should know-en.srt 4.2 KB
  002 What you should know.mp4 5.2 MB
  003 BSTs and other trees-en.srt 6.3 KB
  003 BSTs and other trees.mp4 6 MB
  003 Deleting nodes_ Code-en.srt 8.3 KB
  003 Deleting nodes_ Code.mp4 17.5 MB
  3 19.3 KB
  003 Fixing a tree with multiple points of imbalance-en.srt 9.5 KB
  003 Fixing a tree with multiple points of imbalance.mp4 19.2 MB
  003 Traversing a tree-en.srt 8.1 KB
  003 Traversing a tree.mp4 52.9 MB
  004 Challenge_ Smarter automated rebalancing-en.srt 2.6 KB
  004 Challenge_ Smarter automated rebalancing.mp4 2.1 MB
  004 Detecting unbalanced trees.mp4 46.5 MB
  4 42.3 KB
  004 Detecting unbalanced trees-en.srt 6.6 KB
  004 Getting the maximum height of a tree-en.srt 6.3 KB
  004 Getting the maximum height of a tree.mp4 34.2 MB
  005 Challenge_ Adding a balance indicator to the printed tree-en.srt 1.6 KB
  005 Getting all nodes at a particular depth.mp4 33.4 MB
  005 Solution_ Smarter automated rebalancing-en.srt 6.9 KB
  005 Solution_ Smarter automated rebalancing.mp4 10.8 MB
  TutsNode.com.txt 102.4 B
  [TGx]Downloaded from torrentgalaxy.to .txt 614.4 B
  5 75.6 KB
  005 Challenge_ Adding a balance indicator to the printed tree.mp4 1.4 MB
  005 Getting all nodes at a particular depth-en.srt 8.1 KB
  006 Challenge_ Printing a tree-en.srt 2.3 KB
  006 Challenge_ Printing a tree.mp4 1.7 MB
  006 Solution_ Adding a balance indicator to the printed tree-en.srt 4.4 KB
  006 Solution_ Adding a balance indicator to the printed tree.mp4 6.6 MB
  6 185.7 KB
  007 Solution_ Printing a tree-en.srt 6.6 KB
  007 Solution_ Printing a tree.mp4 9.9 MB
  7 91.3 KB
  8 248.8 KB
  9 22.4 KB
  10 131.9 KB
  11 26.7 KB
  12 69.9 KB
  13 161.3 KB
  14 88.8 KB
  15 184.7 KB
  16 43.9 KB
  17 51.3 KB
  18 184.3 KB
  19 133.8 KB
  20 34.8 KB
  ▲ 67 total files

Description


Description

What are trees, in Python, and how do they fit in with other data structures such as linked lists and graphs? In this course, instructor Ryan Mitchell discusses binary search trees (BSTs) and what you can do with them in a real-world context. Ryan shows you how to build a basic tree with just a few lines of Python. She steps through how to search and traverse a tree, as well as how to print a tree to a terminal. Ryan explains how to add nodes to your tree, delete them, and detect unbalanced trees. When you find an unbalanced tree, it’s important to rebalance it. Ryan walks you through rebalancing four types of unbalanced trees. She concludes with a challenge that features smarter automated rebalancing.

Released 2/25/2021

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