Android Programming 4th Ed (Big Nerd Ranch Guide)
Monday, 04 November 2019

Based on Big Nerd Ranch's Android Bootcamp, this guide will lead you using hands-on example apps combined with clear explanations of key concepts and APIs. Authors Bill Phillips, Chris Stewart  and Kristin Marsicano focus on practical techniques for developing apps compatible with Android Oreo and Android "P". The book concentrates on writinh and running code every step of the way, using Android Studio to create apps that integrate with other apps, download and display pictures from the web, play sounds, and more.

<ASIN:0135245125>

 

Authors: Bill Phillips. Chris Stewart  and Kristin Marsicano
Publisher: Big Nerd Ranch Guide
Date: November 2019
Pages: 624
ISBN: 978-0135245125
Print: 0135245125
Kindle: B07XVLNGX1
Audience: Android developers
Level: Introductory/Intermediate
Category: Hardware platforms 

 

There are two Android titles in the I Programmer Library published by I/O Press

 

 

 

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
 


Professional C++, 6th Ed (Wiley)

Author: Marc Gregoire
Publisher: Wiley
Date: February 2024
Pages: 1376
ISBN:978-1394193172
Print:1394193173
Kindle:B0CRXK5191
Audience: C++ developers
Rating: 4
Reviewer: Mike James
Can a book on C++ get any bigger and does it need to?



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