Cyrille Rossant - IPython Interactive Computing and Visualization Cookbook

Cyrille Rossant is a researcher in neuroinformatics, and is a graduate of Ecole Normale Suprieure, Paris, where he studied mathematics and computer science. He has worked at Princeton University, University College London, and Collge de France.

As part of his data science and software engineering projects, he gained experience in machine learning, high-performance computing, parallel computing, and big data visualization. He is one of the developers of Vispy, a high-performance visualization package in Python. He is the author of Learning IPython for Interactive Computing and Data Visualization , Packt Publishing , a beginner-level introduction to data analysis in Python, and the prequel of this book.

I would like to thank the IPython development team for their support. I am also deeply grateful to Nick Fiorentini and his partner Darbie Whitman for their invaluable help during the later stages of editing.

Finally, I would like to thank my relatives and notably my wife Claire.

Chetan Giridhar is an open source evangelist and Python enthusiast. He has been invited to talk at international Python conferences on topics such as filesystems, search engines, and real-time communication. He is also working as an associate editor at Python editorial, The Python Papers Anthology .

Chetan works as a lead engineer and evangelist at BlueJeans Network (http://bluejeans.com/), a leading video conferencing site on Cloud Company.

He has co-authored an e-book, Design Patterns in Python , Testing Perspective , and has reviewed books on Python programming at Packt Publishing.

I'd like to thank my parents (Jayant and Jyotsana Giridhar), my wife Deepti, and my friends/colleagues for supporting and inspiring me.

Robert Johansson has a PhD in Theoretical Physics from Chalmers University of Technology, Sweden. He is currently working as a researcher at the Interdisciplinary Theoretical Science Research Group at RIKEN, Japan, focusing on computational condensed-matter physics and quantum mechanics.

Maurice HT Ling completed his PhD in Bioinformatics and BSc (Hons) in Molecular and Cell Biology from The University of Melbourne, Australia. He is currently a research fellow in Nanyang Technological University, Singapore, and an honorary fellow in The University of Melbourne, Australia. Maurice coedits The Python Papers and cofounded the Python User Group (Singapore), where he has served as an executive committee member since 2010. His research interests lies in lifebiological and artificial life, and artificial intelligenceusing computer science and statistics as tools to understand life and its numerous aspects. His personal website is http://maurice.vodien.com.

Jose Unpingco is the author of the Python for Signal Processing blog and the corresponding book. A graduate from University of California, San Diego, he has spent almost 20 years in the industry as an analyst, instructor, engineer, consultant, and technical director in the area of signal processing. His interests include time-series analysis, statistical signal processing, random processes, and large-scale interactive computing.

Unpingco has been an active member of the scientific Python community for over a decade, and developed some of the first video tutorials on IPython and scientific Python. He has also helped fund a number of scientific Python efforts in a wide variety of disciplines.

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Preface

We are becoming awash in the flood of digital data from scientific research, engineering, economics, politics, journalism, business, and many other domains. As a result, analyzing, visualizing, and harnessing data is the occupation of an increasingly large and diverse set of people. Quantitative skills such as programming, numerical computing, mathematics, statistics, and data mining, which form the core of data science, are more and more appreciated in a seemingly endless plethora of fields.