Write efficient code that is highly performant, scalable, and easily testable using JavaScript
Updated on Oct, 2020
Programming, Software Engineering,
Formats : PDF, EPUB, MOBI (Downlodable)
ISBN : 9781788397544
Increase your productivity by implementing complex data structures and algorithms using JavaScript
If you are a JavaScript developer looking for practical examples to implement data structures and algorithms in your web applications, then this book is for you. Familiarity with data structures and algorithms will be helpful to get the most out of this book.
Data structures and algorithms are the fundamental building blocks of computer programming. They are critical to any problem, provide a complete solution, and act like reusable code. Using appropriate data structures and having a good understanding of algorithm analysis are key in JavaScript to solving crises and ensuring your application is less prone to errors.
Do you want to build applications that are high-performing and fast? Are you looking for complete solutions to implement complex data structures and algorithms in a practical way? If either of these questions rings a bell, then this book is for you!
You'll start by building stacks and understanding performance and memory implications. You will learn how to pick the right type of queue for the application. You will then use sets, maps, trees, and graphs to simplify complex applications. You will learn to implement different types of sorting algorithm before gradually calculating and analyzing space and time complexity. Finally, you'll increase the performance of your application using micro optimizations and memory management.
By the end of the book you will have gained the skills and expertise necessary to create and employ various data structures in a way that is demanded by your project or use case.
Step-by-step topics will help you get started with solutions for implementing classic data structures and algorithms. Learn by doing with hands-on code snippets that give you practical experience of the subject.
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