The Ultimate Data Structures & Algorithms: Part 2

5h 56m 46s
English
Paid

Course description

Data structures and algorithms are patterns for solving problems. Developers who know more about data structures and algorithms are better at solving problems. That’s why companies like Google, Microsoft and Amazon always include interview questions on data structures and algorithms. They want to assess your problem-solving skills. They don't care how many programming languages and frameworks you're familiar with.

Read more about the course

By the end of this course…

You’ll be able to:

  • Ace your next coding interview
  • Write better, faster code
  • Become a better developer
  • Improve your problem solving skills
  • Master computer science fundamentals
  • Implement all the essential data structures from scratch
  • Master dozens of popular algorithms

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#1: Introduction

All Course Lessons (94)

#Lesson TitleDurationAccess
1
Introduction Demo
00:51
2
Introduction
00:56
3
What are Trees
05:37
4
Exercise- Building a Tree
02:42
5
Solution- insert()
07:45
6
Solution- find()
02:01
7
Traversing Trees
05:59
8
Recursion
05:40
9
Depth First Traversals
05:24
10
Depth and Height of Nodes
07:07
11
Minimum Value in a Tree
07:38
12
Exercise- Equality Checking
00:46
13
Solution- Equality Checking
04:09
14
Exercise- Validating Binary Search Trees
04:15
15
Solution- Validating Binary Search Trees
04:19
16
Exercise- Nodes at K Distance
01:49
17
Solution- Nodes at K Distance from the Root
04:38
18
Level Order Traversal
02:56
19
Summary
01:23
20
Introduction
00:32
21
Balanced and Unbalanced Trees
03:02
22
Rotations
05:03
23
AVL Trees
04:05
24
Exercise- Building an AVL Tree
01:12
25
Solution- insert()
08:48
26
Exercise- Height Calculation
01:25
27
Solution- Height Calculation
02:44
28
Exercise- Balance Factor
02:05
29
Solution- Balance Factor
04:02
30
Exercise- Detecting Rotations
02:55
31
Solution- Detecting Rotations
03:34
32
Exercise- Implementing Rotations
03:52
33
Solution- Implementing Rotations
05:41
34
Summary
01:02
35
Introduction
00:22
36
What are Heaps
06:29
37
Exercise- Building a Heap
01:56
38
Solution- insert()
08:25
39
Solution- remove()
07:08
40
Solution - Edge Cases
06:12
41
Heap Sort
02:30
42
Priority Queues
05:05
43
Exercise- Heapify
01:27
44
Solution- Heapify
07:13
45
Solution- Optimization
02:43
46
Exercise- Kth Largest Item
00:32
47
Solution- Kth Largest Item
03:48
48
Summary
01:20
49
Introduction
00:31
50
What are Tries
03:51
51
What are Tries
03:04
52
Solution- Building a Trie
05:45
53
An Implementation with a HashTable
01:51
54
A Better Abstraction
05:29
55
Exercise- Looking Up a Word
01:13
56
Solution- Looking Up a Word
02:36
57
Traversals
03:36
58
Exercise- Removing a Word
01:54
59
Solution- Removing a Word
08:15
60
Exercise- Auto Completion
02:52
61
Solution- Auto Completion
06:00
62
Summary
00:46
63
Introduction
00:27
64
What are Graphs
02:10
65
Adjacency Matrix
04:15
66
Adjacency List
06:33
67
Exercise- Building a Graph
01:51
68
Solution- Adding Nodes and Edges
07:35
69
Solution- Removing Nodes and Edges
04:49
70
Traversal Algorithms
03:59
71
Exercise- Depth-first Traversal (Recursive)
01:30
72
Solution- Depth-first Traversal (Recursive)
03:45
73
Exercise- Depth-first Traversal (Iterative)
02:45
74
Solution- Depth-first Traversal (Iterative)
04:00
75
Exercise- Breadth-first Traversal (Iterative)
01:19
76
Solution- Breadth-first Traversal
02:42
77
Exercise- Topological Sorting
05:07
78
Solution- Topological Sort
04:06
79
Exercise- Cycle Detection (Directed Graphs)
03:43
80
Solution- Cycle Detection (Directed Graphs)
06:27
81
Graphs Summary
01:03
82
Introduction
00:27
83
Exercise- Weighted Graphs
01:31
84
Solution- Weighted Graphs
05:21
85
An Object-oriented Solution
06:14
86
Dijkstra's Shortest Path Algorithm
04:36
87
Exercise- Getting the Shortest Distance
06:09
88
Solution- The Shortest Distance
05:28
89
Solution- Shortest Path
07:54
90
Exercise- Cycle Detection (Undirected Graphs)
02:04
91
Solution- Cycle Detection (Undirected Graphs)
04:43
92
Minimum Spanning Tree
01:57
93
Exercise- Prim's Algorithm
02:46
94
Solution- Prim's Algorithm
10:40

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