React 17 Design Patterns and Best Practices (Packt)
Monday, 07 June 2021

This book shows how to use React effectively to make applications more flexible, easier to maintain, and improve their performance, while improving speed without affecting quality. Carlos Santana Roldán starts with the internals of React, before gradually moving on to writing maintainable and clean code, showing how to build components that are reusable across the application, structure applications, and creating forms that actually work. Later chapters cover styling React components and optimize them to make applications faster and more responsive.

<ASIN:1800560443>

 

Author: Carlos Santana Roldán
Publisher: Packt
Date: of print publication
Pages: 394
ISBN: 978-1800560444
Print: 1800560443
Kindle: B08XMXXZ91
Audience: React developers
Level: Introductory/Intermediate
Category: JavaScript

 

  • Get to grips with the techniques of styling and optimizing React components
  • Create components using the new React Hooks
  • Get to grips with the new React Suspense technique and using GraphQL in your projects
  • Use server-side rendering to make applications load faster
  • Write a comprehensive set of tests to create robust and maintainable code
  • Build high-performing applications by optimizing components

 

For recommendations of JavaScript books see JavaScript Beginners Book Choice and Advanced JavaScript Book Choices in our Programmer's Bookshelf section.

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Go Programming In Easy Steps

Author: Mike McGrath
Publisher: In Easy Steps
Date: January 2021
Pages: 192
ISBN: 978-1840789195
Print: 1840789190
Kindle: B08NF958NM
Audience: Non-programmers wanting to learn to code in Go
Rating: 5
Reviewer: Mike James
Getting going with Go - great idea!



TinyML: Machine Learning with TensorFlow Lite

Authors: Pete Warden and Daniel Situnayake
Publisher: O'Reilly
Date: December 2019
Pages: 504
ISBN: 978-1492052043
Print: 1492052043
Kindle: B082TY3SX7
Audience: Developers interested in machine learning
Rating: 5, but see reservations
Reviewer: Harry Fairhead
Can such small machines really do ML?


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