R is a wonderful thing, indeed: in recent years this free, open-source product has become a popular toolkit for statistical analysis and programming. Two of R's limitations -- that it is single-threaded and memory-bound -- become especially troublesome in the current era of large-scale data analysis. It's possible to break past these boundaries by putting R on the parallel path. Parallel R will describe how to give R parallel muscle. Coverage will include stalwarts such as snow and multicore, and also newer techniques such as Hadoop and Amazon's cloud computing platform.

This book will educate readers on the need for application security and secure coding practices when designing any app. No prior knowledge of security or secure programming techniques is assumed. The book will discuss the need for such practices, how the Android environment is structured with respect to security considerations, what services and techniques are available on the platform to protect data, and how developers can build and code applications that address the risk to their applications and the data processed by them. This text is especially important now, as Android is fast becoming the mobile platform target of choice for attackers attempting to steal data from mobile devices.