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IPython Interactive Computing and Visualization Cookbook Paperback – September 25, 2014
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About the Author
Cyrille Rossant is a researcher in neuroinformatics, and is a graduate of Ecole Normale Superieure, Paris, where he studied mathematics and computer science. He has worked at Princeton University, University College London, and College 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.
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Top Customer Reviews
The explanations are concisely written but each sub-chapter also offers an extensive list of links to more detailed reading material, if needed.
If you are looking for a book with extensive information about doing data science in IPython, everything from simple data munging to complicated machine learning, this is a good choice.
It is clearly written and easy to understand. It provides step-by-step examples (available on github), as well as useful tips and comments throughout the book. I must say that to benefit from the book you should read it while you practice in your laptop, is not that useful if you just read it.
Even if the book were shorter, I would have been happier if it focused on the abilities and features of IPython and left recipes specific to other technologies to cookbooks dedicated to those technologies. To elaborate, if a recipe involving NumPy can be applied independent of IPython, then the recipe is specific to NumPy. On the other hand, if a recipe involving NumPy relies on a feature of IPython and cannot be employed outside of IPython (e.g., python shell), then the recipe specific to IPython. Moreover, I suspect such a recipe would be applicable to other technologies that can be used with IPython. If so, the book should illustrate such general uses of a recipe.
In short, while I may return to this book, I will only do so for very few chapters that are specific to IPython.