Book Watch
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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.
Classic Computer Science Problems in Swift (Manning)
Monday 18 Jun
This book deepens your Swift language skills by exploring foundational coding techniques and algorithms. As you work through examples in search, clustering, graphs, and more, author David Kopec illustrates important things you might have forgotten and shows classic solutions to your "new" problems. The book connects computer science to the real-world concerns of apps, data, and performance.
<ASIN:1617294896>
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Coding with Minecraft (No Starch Press)
Thursday 14 Jun
This book, subtitled "Build Taller, Farm Faster, Mine Deeper, and Automate the Boring Stuff", is an introduction to coding that teaches you how to program bots to in Minecraft. Author Al Sweigart takes the robotic "turtle" method, and extends it to the 3D, interactive world of Minecraft and shows how to create a virtual robot army with Lua. Step-by-step coding projects show how to write programs that automatically dig mines, collect materials, craft items, and build things.
<ASIN:1593278535>
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Visual Data Storytelling with Tableau (Addison-Wesley)
Wednesday 13 Jun
This book uses a combination of information, context, and hands-on skills to show how to put together data stories with Tableau. In this full-color guide, author Lindy Ryan shows how to organize data and structure analysis with storytelling in mind. Each chapter illuminates key aspects of design practice and data visualization, and guides you step-by-step through applying them in Tableau. Through realistic examples and classroom-tested exercises, Lindy Ryan helps you use Tableau to analyze data, visualize it, and help people connect more intuitively and emotionally with it.
<ASIN:0134712838>
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Optimizing Java (O'Reilly)
Monday 11 Jun
This book, subtitled Practical Techniques for Improving JVM Application Performance, is aimed at intermediate to advanced Java technologists working with complex technology stacks. Authors Ben Evans, Jim Gough, and Chris Newland show how to tune Java applications for performance using a quantitative, verifiable approach. Most resources on performance tend to discuss the theory and internals of Java virtual machines, but this book focuses on the practicalities of performance tuning by examining a wide range of aspects.
<ASIN:1492025798>
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