JavaScript Algorithms: The Web Developer’s Guide to Data Structures and Algorithms

Length: 292 pages
Edition: 1
Language: English
Publisher: Fullstack io
Publication Date: 2019-11-25

As a JavaScript developer you might think you don’t need to learn about data structures or algorithms.

Did you know JavaScript itself (runtime + browser) uses things like a stack, a heap and a queue? The more you understand the JavaScript you use on a daily basis – really understand it, the better you can wield it’s power and make less mistakes. If you thought algorithms and data structures were just a computer science course that wasn’t necessary on a day to day basis as JavaScript developer, think again!

Title Page
Table of Contents
Algorithms and Their Complexities
Linked List
Queue
Stack
Hash Table
Binary Search Tree (BST)
Binary Heap
Priority Queue
Graphs
Bit Manipulation
Factorial
Fibonacci Number
Primality Test
Is a power of two
Search. Linear Search.
Search. Binary Search.
Sets. Cartesian Product.
Sets. Power Set.
Sets. Permutations.
Sets. Combinations.
Sorting: Quicksort
Trees. Depth-First Search.
Trees. Breadth-First Search.
Graphs. Depth-First Search.
Graphs. Breadth-First Search.
Dijkstra’s Algorithm
Appendix A: Quiz Answers
Appendix B: Big O Times Comparison
Appendix C: Data Structures Operations Complexities
Appendix D: Array Sorting Algorithms Complexities
Changelog