About the Reviewers
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 life—biological and artificial life, and artificial intelligence—using 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.