This book sets out to disprove the idea that concurrency is extremely challenging. James Cutajar uses the easy-to-grasp concurrency tools of the Go language to demonstrate principles and techniques, steadily teaching you the best practices of effective concurrency. The book looks at universal principles of concurrency, along with how to use them for a performance boost in your Go applications. Techniques learned in this book can be applied to other languages.

<ASIN:1633438384 >

Mattel's Intellivision console rocketed into homes across the U.S. in the early 1980s and transformed video gaming. Jamie Lendino looks at how its arcade action and 16-bit system with the industry's first voice synthesis and controls unlike any other console were key to its success.

<ASIN:‎ 1957932112 >

This recipe-based guide to Angular will help build up Angular expertise with a wide range of recipes across key tasks in web development and show how to build high-performance apps. In this second edition, Muhammad Ahsan Ayaz has updated the recipes, with added and improved recipes based on developer feedback and new challenges.

<ASIN:1803233443>

Fully updated for the current version of Java, Java SE 21, this guide shows, step by step, how to design, write, debug, run, and administer high-performance Java programs. Inside, authors Herbert Schildt and Dr. Danny Coward cover the entire Java language, including its syntax, keywords, and libraries.

<ASIN:1265058431 >

Subtitled "The Art of Analyzing Hacked and Leaked Data", this  hands-on guide blends real-world techniques for researching large datasets with lessons on coding, data authentication, and digital security. Micah Lee spices all of this up with stories from the front lines of investigative journalism, and looks into exposed datasets from a wide array of sources: the FBI, the DHS, police intelligence agencies, extremist groups like the Oath Keepers, and even a Russian ransomware gang.

<ASIN:1718503121 >

This book teaches algorithms and data structures. Using diagrams and fully annotated code samples in Javascript, Kirupa Chinnathambi starts with the basics and gradually goes deeper and broader into all the techniques needed to organize data. The author argues that efficient algorithms are needed now more than ever. Programming languages come and go, but the core of programming--algorithms and data structures--remains the same.

<ASIN:‎0138222290>

Fully updated for Android Studio Hedgehog (2023.1.1) and the new UI, this book shows how to develop Android-based applications using Java. Neil Smyth begins with the basics. An introduction to the architecture of Android is followed by an in-depth look at the design of Android applications and user interfaces using the Android Studio environment.

<ASIN:1951442822 >

This book tells the story of the people and projects that inspired the invention of the world’s first successful peer-to-peer electronic cash system. Aaron van Wirdum tells how a diverse group of computer scientists, privacy activists, and heterodox economists tried to create a digital form of money that could operate independently of government control.

<ASIN:B0CQLMQRH7>

This book begins by exploring the fundamentals of Java, from its primitive data types through to loops and arrays before moving on to object-oriented programming (OOP). Dr. Seán Kennedy and Maaike van Putten look at key topics such as classes and objects, inheritance, interfaces and lambda expressions.

<ASIN: 1837637180>

Subtited "The Matter of Data in a Self-Inscribing World", in this book Dietmar Offenhuber argues that citizen scientists, environmental activists, and forensic amateurs are using analog methods to present evidence of pollution, climate change, and the spread of disinformation. Offenhuber presents a model for these practices, a model to make data generation accountable: autographic design.

<ASIN:0262547023>

Subtitled "What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence", this book provides a framework for thinking about foundational philosophical questions surrounding the use of deep artificial neural networks ("deep learning") to achieve artificial intelligence. Specifically, Cameron J. Buckner  links recent breakthroughs to classic works in empiricist philosophy of mind 

<ASIN:0197653308 >

In this book, subtitled "A testing guide for the 2020s", Matthew Heusser and Michael Larsen cover a wide range of topics in the field of software testing, providing practical insights and strategies for professionals at every level. With equal emphasis on theoretical knowledge and practical application, this book is a valuable resource for programmers, testers, and anyone involved in software development.

<ASIN:1837638020>