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Get to grips with the advanced concepts of interactive computing to make the most out of IPythonAbout This BookMost updated book on Interactive computing with IPython 4.0;Detailed, example-rich guide that lets you use the most advanced level interactive programming with IPython;Get flexible interactive programming with IPython using this comprehensive guideWho This Book Is ForThis book is for IPython developers who want to make the most of IPython and perform advanced scientific computing with IPython utilizing the ease of interactive computing.It is ideal for users who wish to learn about the interactive and parallel computing properties of IPython 4.0, along with its integration with third-party tools and concepts such as testing and documenting results.What You Will LearnDevelop skills to use IPython for high performance computing (HPC)Understand the IPython interactive shellUse XeroMQ and MPI to pass messagesIntegrate third-party tools like R, Julia, and JavaScript with IPythonVisualize the dataAcquire knowledge to test and document the dataGet to grips with the recent developments in the Jupyter notebook systemIn DetailIPython is an interactive computational environment in which you can combine code execution, rich text, mathematics, plots, and rich media.This book will get IPython developers up to date with the latest advancements in IPython and dive deep into interactive computing with IPython. This an advanced guide on interactive and parallel computing with IPython will explore advanced visualizations and high-performance computing with IPython in detail.You will quickly brush up your knowledge of IPython kernels and wrapper kernels, then we'll move to advanced concepts such as testing, Sphinx, JS events, interactive work, and the ZMQ cluster. The book will cover topics such as IPython Console Lexer, advanced configuration, and third-party tools.By the end of this book, you will be able to use IPython for interactive and parallel computing in a high-perform