Data Structures and Algorithms in JavaScript

Data Structures and Algorithms in JavaScript
Data Structures and Algorithms in JavaScript
English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 16h 13m | 4.43 GB

Immerse yourself in a course tailored for engineers comfortable with JavaScript, but wanting to better understand the data structures and algorithms necessary to ace job interviews and build better software. Learn topics like recursion, stacks & queues, sorting algorithms, trees, linked lists, Binary Search Trees, Graphs, & Hash Tables, Big-O and Breadth-First and Depth-First Search all in one place! This course is your key to understanding some of the most common data structures and algorithms in Computer Science while reinforcing JavaScript programming techniques. Master these concepts and you can approach your next job interview or coding challenge with confidence!

Table of Contents

Object Oriented JavaScript
1 Introduction
2 Agenda and Scope
3 How to Succeed
4 Pseudoclassical JavaScript
5 Defining a Class
6 Using a Class
7 Exercise - Creating a Constructor
8 Creating a Constructor Solution

Stacks and Queues
9 Stacks
10 Stacks Interface
11 Implementing a Stack
12 Queues
13 Exercise - Creating Stacks and Queues
14 Exercise - Creating Stacks and Queues Solution

Recursion
15 Why Recursion _
16 Tracing Recursive Execution
17 Template for a Recursive Function
18 Looping
19 Factorial with Loop
20 Factorial with Recursion
21 Exercise - Recursion Interview Questions
22 Recursive Reverse Solution
23 Recursive Multiplier Solution
24 minStack Solution
25 Implementing a Queue with Two Stacks Solution

Time Complexity
26 Space vs Time Complexity
27 Calculating Time Complexity
28 Understanding Big-O
29 Calculating Big-O of JS Operations
30 Calculating Big-O of Loops
31 Exercise - Calculating Time Complexity
32 Calculating Time Complexity Solution

Elementary Sorting
33 Bubble Sort
34 Stability and Adaptability
35 Selection and Insertion Sort
36 Exercise - Bubble, Inspection and Selection Sort
37 Bubble, Insertion, and Selection Sort Solution

Sorting Algorithms
38 Merge Sort
39 Pseudocoding the Merge Routine
40 Pseudocoding the Merge Sort
41 Time Complexity for Merge Sort
42 Quick Sort Overview
43 Understanding the Qucik Sort Partition
44 Pseudocoding Quick Sort Part 1
45 Pseudocoding Quick Sort Part 2
46 Reviewing the Pseudocode
47 Debugging the Quick Sort Algorithm
48 Quick Sort Review Part 1
49 Quick Sort Review Part 2

Trees and Searching
50 Trees
51 Linked Lists
52 Pseudocoding a Linked Lists
53 Exercise - Implement a Linked List
54 Exercise - Implement a Linked List Solution
55 Implementing a Tree

Reviewing Core Concepts
56 Review - Time Complexity
57 Review - Elementary Sorting
58 Review - Recursion
59 Review - Merge Sort
60 Review - Quick Sort Part 1
61 Review - Quick Sort Part 2
62 Review - Stacks and Queues
63 Review - Linked Lists
64 Review - Trees Part 1
65 Review - Trees Part 2

Binary Trees
66 Binary Search Tree Overview
67 Excercise - Binary Search Trees
68 Pseudocoding a Binary Search Tree
69 BST Search Procedure
70 BST Review and Scping Discussion
71 Pseudocoding the BST contains() Method
72 Binary Search Tree Exercise Solution
73 In-Order Traversal
74 Pseudocoding In-Order Traversal Part 1
75 Pseudocoding In-Order Traversal Part 2
76 Pre-Order Traversal
77 Post-Order Traversal
78 Initial Time Complexity for a BST
79 Deleting Min_Max Nodes
80 BST Review
81 Pseudocoding MIn_Max Deletion
82 Reviewing the Min_Max Pseudocode Part 1
83 Reviewing the Min_Max Pseudocode Part 2
84 Exercise - Deleting Single-Child Nodes
85 Deleting BST Nodes Solution Part 1
86 Deleting BST Nodes Solution Part 2
87 Exercise Deleting Two Children
88 Deleting Two Children Solution
89 Analysis of Time Complexity

Graphs and Paths
90 Graph Vocabulary and Representations
91 Pseudocoding the Matrix Constructor
92 Pseudocoding the addNode() Method
93 Pseudocoding the addEdges() Method
94 Excercise - Adding Nodes and Edges
95 Adding Nodes and Edges Solution
96 Adjacency List
97 Pseudocoding an Adjacency List
98 Excercise - Implement a Graph
99 Implement a Graph Solution

Depth and Breadth-First Search
100 Graph Traversing and Depth-First Search
101 Pseudocoding DFS Part 1
102 Pseudocoding DFS Part 2
103 Breadth-First Search
104 Pseudocoding BFS
105 Depth-First Search with a Graph Solution
106 DFS Graph Stack Trace Part 1
107 DFS Graph Stack Trace Part 2
108 Depth-First Search with a tree Solution
109 Breadth-First Search Solution
110 Breadth-First Search Stack Trace

Hash Tables
111 Hash Tables
112 Pseudocoding a Hashing Function
113 Key Components of a Hash Table
114 Pseudocoding set(), get(), and remove()
115 Handling Collisions
116 Exercise - Implementing a Hash Table
117 Implementing a Hash Table Solution
118 Next Steps