This hands-on book has been written to show how to make R work effectively, and to teach novices and experienced R users how to write efficient R code. Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on topics from optimizing the set-up of RStudio to using C++.

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This book teaches you how to incorporate the benefits of functional programming into new and existing Java code. Author Pierre-Yves Saumont shows how to think functionally about coding tasks in Java and use FP to make your applications easier to understand, optimize, maintain, and scale and uses easy-to-grasp examples, exercises, and illustrations to teach core Functional Programming principles ...

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Deepak Vohra takes container cluster management to the next level in this book, and shows how to administer and configure Kubernetes on CoreOS. Vohra also shows how to apply management design patterns such as Configmaps, Autoscaling, elastic resource usage, and high availability.  Some of the other features discussed are logging, scheduling, rolling updates, volumes, service types, and multiple cloud provider zones.

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This practical guide provides ten best practices to help team leaders create an effective working environment through key adjustments to their process. Joost Visser, Sylvan Rigal, Gijs Wijnholds and Zeeger Lubsen argue that poor software quality continues to plague enterprises of all sizes because of the process, rather than individual developers, and describe ways to improve this.

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Intended for experienced Java, C++, or C# programmers who are new to Scala or functional programming this book concentrates on key Scala concepts and techniques. Cay S. Horstmann writes particularly for impatient readers who want to learn the fundamentals of Scala so they can start coding quickly and avoids exhaustively listing all the features of the language. Instead, using carefully crafted examples and hands-on activities he guides you through stages of competency from basic to expert.

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This book introduces you to Python's fundamentals, working with the built-in data structures and functions. Author Paul Barry then moves on to show you building your very own webapp, exploring database management, exception handling, and data wrangling. If you're intrigued by what you can do with context managers, decorators, comprehensions, and generators, it's all here. Although this is billed as a second edition, not only does is it greatly expanded, it is also extensively re-written.

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This book is subtitled 66 Ways Experts Think and offers sixty-six insights, distilled from years of studying experts at work, that capture what successful software designers actually do to create great software. The authors, Marian Petre and André Van Der Hoek, present these insights in a series of two-page illustrated spreads, with the principle and a short explanatory text on one page, and a drawing on the facing page. For example, "Experts generate alternatives" is illustrated by the same few balloons turned into a set of very different balloon animals.

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In this book, James Delaney shows some of the wonderful worlds Minecraft has been used to create, with stunning artwork of fantasy worlds, alien landscapes, historical events, and real-world architecture, spanning millions of blocks and hundreds of hours. It showcases a range of impressive Minecraft masterpieces, from large-scale builds like floating steampunk cities, space ships, and underwater palaces, to simple sculptures of the human form.

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This is a book designed to offer experienced developers the means to use Apache Hadoop in real–world settings. Benoy Antony and his co-authors are a team of certified Hadoop developers, committers, and Summit speakers, and they cover key aspects of Hadoop technology and the processing of large data sets. The book is designed for the professional developer, skipping over the basics of database development to get you acquainted with the framework′s processes and capabilities right away.

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If you use Python, even as a beginner, this book, subtitled A Guide for Data Scientists will teach you practical ways to build your own machine learning solutions. Authors Andreas Müller and Sarah Guido say that with all the data available today, machine learning applications are limited only by your imagination, and set out to show what is possible. You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library.

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