Learning SciPy for Numerical and Scientific Computing

Learning SciPy for Numerical and Scientific Computing

By: Francisco J. Blanco-Silva (author)Paperback

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A step-by-step practical tutorial with plenty of examples on research-based problems from various areas of science, that prove how simple, yet effective, it is to provide solutions based on SciPy. This book is targeted at anyone with basic knowledge of Python, a somewhat advanced command of mathematics/physics, and an interest in engineering or scientific applications---this is broadly what we refer to as scientific computing. This book will be of critical importance to programmers and scientists who have basic Python knowledge and would like to be able to do scientific and numerical computations with SciPy.

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About Author

Francisco J. Blanco-Silva is the owner of a scientific consulting company-Tizona Scientific Solutions-and adjunct faculty in the Department of Mathematics of the University of South Carolina. He obtained his formal training as an applied mathematician at Purdue University. He enjoys problem solving, learning, and teaching. Being an avid programmer and blogger, when it comes to writing, he relishes finding that common denominator among his passions and skills and making it available to everyone. He coauthored Chapter 5 of the book Modeling Nanoscale Imaging in Electron Microscopy, Springer by Peter Binev, Wolfgang Dahmen, and Thomas Vogt.

Product Details

  • publication date: 22/02/2013
  • ISBN13: 9781782161622
  • Format: Paperback
  • Number Of Pages: 150
  • ID: 9781782161622
  • weight: 271
  • ISBN10: 1782161627

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