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IPython Interactive Computing and Visualization Cookbook
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  • Title: IPython Interactive Computing and Visualization Cookbook
  • Author(s) Cyrille Rossant
  • Publisher: Packt Publishing; 2nd edition (January 31, 2018); eBook (Creative Commons Edition)
  • License(s): CC BY-NC-ND 3.0 US
  • Paperback: 548 pages
  • eBook: HTML
  • Language: English
  • ISBN-10: 1785888633
  • ISBN-13: 978-1785888632
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Book Description

This book contains many ready-to-use, focused recipes for high-performance scientific computing and data analysis, from the latest IPython/Jupyter features to the most advanced tricks, to help you write better and faster code. You will apply these state-of-the-art methods to various real-world examples, illustrating topics in applied mathematics, scientific modeling, and machine learning.

It is for anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, and hobbyists. Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.

  • Leverage the Jupyter Notebook for interactive data science and visualization
  • Become an expert in high-performance computing and visualization for data analysis and scientific modeling
  • Comprehensive coverage of scientific computing through many hands-on, example-driven recipes with detailed, step-by-step explanations
About the Authors
  • 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 main developers of VisPy, a high-performance visualization package in Python.
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