NumPy: Beginner's Guide - Third Edition
πŸ“– eBook - ePub

NumPy: Beginner's Guide - Third Edition

Ivan Idris

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348 pages
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πŸ“– eBook - ePub

NumPy: Beginner's Guide - Third Edition

Ivan Idris

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About This Book

About This Book

  • Analyze, benchmark, and profile your Node.js application to find slow spots, and push it to the limit by eliminating performance bottlenecks
  • Learn the basis of performance analysis using Node.js
  • Explore the high performance capabilities of Node.js, along with best practices

Who This Book Is For

This book is for Node.js developers who want a more in-depth knowledge of the platform to improve the performance of their applications. Whether you have a base Node.js background or you are an expert who knows the garbage collector and wants to leverage it to make applications more robust, the examples in this book will benefit you.

What You Will Learn

  • Develop applications using well-defined and well-tested development patterns
  • Explore memory management and garbage collection to improve performance
  • Monitor memory changes and analyze heap snapshots
  • Profile CPU and improve your code to avoid patterns that force intensive processor usage
  • Understand the importance of data and when you should cache information
  • Educate yourself to always test your code and benchmark when needed
  • Extend your application's scope and know what other elements can influence performance

In Detail

Node.js is a tool written in C that allows you to use JavaScript on the server-side. High performance on a platform such as Node.js is to take advantage of every aspect of your hardware, helping memory management act at its best. Spot the memory leaks and solve them fast with Node.js by monitoring and stopping them before they become an issue.

Starting with performance analysis concepts and their importance in helping Node.js developers eliminate performance bottlenecks, this book will take you through development patterns to avoid performance penalties. You will learn the importance of garbage collection and its behavior, and discover how to profile your processor, allowing better performance and scalability.

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NumPy Beginner's Guide Third Edition

Table of Contents

Table of contents

Citation styles for NumPy: Beginner's Guide - Third EditionHow to cite NumPy: Beginner's Guide - Third Edition for your reference list or bibliography: select your referencing style from the list below and hit 'copy' to generate a citation. If your style isn't in the list, you can start a free trial to access over 20 additional styles from the Perlego eReader.
APA 6 Citation
Idris, I. (2015). NumPy: Beginner’s Guide - Third Edition (3rd ed.). Packt Publishing. Retrieved from (Original work published 2015)
Chicago Citation
Idris, Ivan. (2015) 2015. NumPy: Beginner’s Guide - Third Edition. 3rd ed. Packt Publishing.
Harvard Citation
Idris, I. (2015) NumPy: Beginner’s Guide - Third Edition. 3rd edn. Packt Publishing. Available at: (Accessed: 14 October 2022).
MLA 7 Citation
Idris, Ivan. NumPy: Beginner’s Guide - Third Edition. 3rd ed. Packt Publishing, 2015. Web. 14 Oct. 2022.