Book Watch Archive
Book Watch Archive
Introduction to Programming in Java, 2nd Ed (Addison-Wesley)
Monday, 08 May 2017

This example-driven guide focuses on Java’s most useful features and sets out to bring programming to life for every student in the sciences, engineering, and computer science. Robert Sedgewick and Kevin Wayne provide an accessible, interdisciplinary treatment that emphasizes important and engaging applications, not toy problems.

 

<ASIN:0672337843>

 
Unreal Engine VR Cookbook (Addison-Wesley)
Friday, 05 May 2017

Subtitled "Developing Virtual Reality with UE4" this book is by Mitch McCaffrey well known for his VR Lab YouTube channel. In it he brings together best practices, common interaction paradigms, specific guidance on implementing these paradigms in Unreal Engine, and practical guidance on choosing the right approaches for your project.

<ASIN: 0134649176>

 

 
Mobile App Development with Ionic 2 (O'Reilly)
Wednesday, 03 May 2017

Learn how to build app store-ready hybrid apps with the Ionic 2, the framework built on top of Apache Cordova and Angular. Author Chris Griffith shows you how to use Ionic's tools and services to develop apps with HTML, CSS, and TypeScript, rather than rely on platform-specific solutions found in Android, iOS, and Windows Phone.

<ASIN:1491937785>

 
Linux for Developers (Addison-Wesley)
Tuesday, 02 May 2017

Whether you’re a Linux user with little or no coding experience, or an experienced Windows programmer, William "Bo" Rothwell shows you how to start writing great code for Linux. He begins with a clear and up-to-date review of modern open source software, including the licensing arrangements and tradeoffs all developers need to understand. He presents essential skills for both Linux command line and GUI environments, introducing text editors and other tools for efficient coding.

<ASIN:0134657284>

 
Python in a Nutshell 3rd Ed (O'Reilly)
Thursday, 27 April 2017

The third edition of this practical book provides a quick reference to the language, including Python 3.5, 2.7, and highlights of 3.6. Authors Alex Martelli, Anna Ravenscroft and Steve Holden cover commonly used areas of the standard library, some of the most useful third-party modules and packages,

<ASIN:144939292X>

 
Think Like a Data Scientist (Manning)
Monday, 24 April 2017

Author Brian Godsey presents a step-by-step approach to data science, combining analytic, programming, and business perspectives into easy-to-digest techniques and thought processes for solving real world data-centric problems.

<ASIN:1633430278>

 
The Hardware Hacker (No Starch Press)
Friday, 21 April 2017

Subtitled "Adventures in Making and Breaking Hardware", this book draws on the experiences of hacker Andrew "bunnie" Huang, author of cult-classic book Hacking the Xbox. In this book he shares his experiences in manufacturing and open hardware.

<ASIN:159327758X>

 
Learning Blender, 2nd Ed (Addison Wesley)
Thursday, 20 April 2017

Now fully updated for the latest version of Blender, the book walks you through every step of creating a 3D animated character with Blender, and then compositing it in a real video using professional workflow.  In this new edition author Oliver Villar covers the powerful new selection and modeling tools, as well as high-efficiency improvements related to painting, texturing, shading, rendering, and performance.

<ASIN:0134663462>

 
Designing with Data, 2nd Ed (O'Reilly)
Thursday, 13 April 2017

Design practices and data science work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. In this practical guide, authors Rochelle King, Elizabeth F Churchill, and Caitlin Tan show you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts.

<ASIN:1449334830>

 
TensorFlow Machine Learning Cookbook (Packt)
Wednesday, 12 April 2017

This book will teach you how to use TensorFlow for complex data computations and Author Nick McClure will let you dig deeper and gain more insights into your data than ever before. You'll work through recipes on training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and deep learning.

<ASIN:1786462168>

 
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