Micro Frontends in Action (Manning)
Wednesday, 04 November 2020

This book shows how to simplify developing frontends by composing them from small, well-defined units. Michael Geers describes the micro frontends approach to designing your web apps as systems of features to benefit from faster feature development, easier upgrades, and the ability to pick and choose the technology you use in your stack. He starts with the core micro frontend design ideas and works through building an e-commerce application, working through practical issues like server-side and client-side composition, routing, and maintaining a consistent look and feel.

<ASIN:1617296872>

Author: Michael GeersPublisher: Manning Date: October 2020
Pages: 296
ISBN: 978-1617296871 Print: 1617296872
Audience: JavaScript developers
Level: Intermediate
Category: JavaScript

microfront

 

  • Create a unified frontend from independent applications
  • Combine JavaScript code from multiple frameworks
  • Browser and server-side composition and routing
  • Implement effective dev teams and project workflow

 

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

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


Object-Oriented Python

Author: Irv Kalb
Publisher: No Starch Press
Date: January 2022
Pages: 416
ISBN: 978-1718502062
Print: 1718502060
Kindle: ‎ B0957SHYQL
Audience: Python developers
Rating: 3
Reviewer: Mike James
Python, Object-Oriented? Not a lot of programmers know that!



Deep Learning with JavaScript

Authors: Shanqing Cai, Stan Bileschi and Eric Nielsen
Publisher: Manning
Date: February 2020
Pages: 560
ISBN: 978-1617296178
Print: 1617296171
Audience: JavaScript Programmers
Rating: 5
Reviewer: Mike James
JavaScript doesn't seen a natural for AI but...


More Reviews