Learning JavaScript Data Structures and Algorithms – Packt Publishing

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Learning JavaScript Data Structures and Algorithms

Find out how data structures and algorithms can be used to solve programming problems using JavaScript

Find out how data structures and algorithms can be used to solve programming problems using JavaScript

About This Video

• Discover how to implement complex data structures such as linked lists, stacks, queues, graphs, and trees using vanilla JavaScript
• Get a good understanding of basic and advanced structures and algorithms
• Master new and upcoming native data structures in ES6 and ES7
• Understand algorithm analysis and implementation to resolve common programming problems

In Detail

As businesses collect increasing amounts of vital data, the need to structure software components increases every day. Using appropriate data structures and having a good understanding of algorithm analysis is key to writing maintainable and extensible quality software, thus solving the crisis.

Learning JavaScript Data Structures and Algorithms will show you how to organize your code with the most appropriate data structures available to get the job done fast, and in a logical way that is easy to maintain, refactor, and test. By using effective data structures, you can take advantage of advanced algorithms, thus making your web applications more powerful and scalable. You will learn about common software engineering data structures, such as linked-lists, trees, and graphs, and get to know how to implement them in JavaScript. You’ll also master ways to use them in various types of algorithms.

You will begin by finding out how to build on native JavaScript constructs, and create collections such as maps, queues, stacks, sets, graphs, and other data structures. You will then discover how to develop, analyze, and improve algorithms to search deep trees, lists, and other complex collections, as well as sorting containers of data.

This practical course will guide you through a web application development cycle using a structured and disciplined approach, focusing on accuracy and efficiency as you build quality software.

Course Curriculum

Introduction to Data Structures and Algorithms

• The Course Overview (2:05)
• What Are Data Structures and Algorithms? (2:35)
• Why Use Data Structures in JavaScript? (2:19)
• Course Format and Datasets Contexts (2:33)

Arrays, Linked Lists, and Sets

• Introduction to Arrays (5:27)
• Exploring Linked Lists (10:18)
• Introduction to Sets (6:09)

Queues and Stacks

• All about Queues (4:38)
• Exploring Stacks (4:19)

Trees and Graphs

• Introduction to Binary Trees (5:11)
• Exploring Graphs (7:42)

Algorithms and Complexity Analysis

• Describing Algorithms with Big-O Notation (6:57)
• Pathfinding Algorithms (6:39)

Peeking into Algorithms to Sort and Search

• Sorting (9:12)
• Searching (7:02)