HTML5 Games: Novice to Ninja (SitePoint)
Wednesday, 04 April 2018

This book teaches how to create video games from scratch. Author Earle Castledine shows how to write games that run cross-platform, in web browsers, and on phones, including dynamic sound and music, and impressive visual effects. The aim is equally importantly to show how to think about making games. You'll learn to analyze and dissect games; to understand what it is that makes great games great so that by the end of the journey you'll have all the knowledge and tools needed to produce engaging, polished products that people will love to play.

<ASIN:0994182619>

 

Author: Earle Castledine
Publisher: SitePoint
Date: Feb 2018
Pages: 462
ISBN: 978-0994182616
Print: 0994182619
Kindle: B079V4BNFB
Audience: would-be games developers
Level: Intermediate
Category: Graphics & Games

 

 

  • Learn the basics: game loops and input
  • Draw graphics on the screen using Canvas
  • Add amazing sound effects and music using the Web Audio API
  • Develop several fun games: a platformer, a shoot ˜em up, a dungeon crawler, and a physics-based game
  • Create your own JavaScript game library
  • Jazz up your game up with "juice": screen shakes, particle effects, and more

 

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
 


The Art of Computer Programming, Volume 4, Fascicle 5

Author: Donald Knuth
Publisher: Addison-Wesley
Pages: 320
ISBN: 978-0134671796
Print: 0134671791
Audience: Knuth fans
Rating: 4
Reviewer: Mike James
Another portion of TAoCP. Do you need to read it?



Machine Learning with PyTorch and Scikit-Learn

Author: Sebastian Raschka, Yuxi (Hayden) Liu & Vahid Mirjalili
Publisher: Packt
Date: February 2022
Pages: 770
ISBN: 978-1801819312
Print: 1801819319
Kindle: B09NW48MR1
Audience: Python developers interested in machine learning
Rating: 5
Reviewer: Mike James
This is a very big book of machine le [ ... ]


More Reviews