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Learning SciPy for Numerical and Scientific Computing - Second Edition by [G.,  Sergio J. Rojas, Christensen,  Erik A, Blanco-Silva,  Francisco J.]
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Learning SciPy for Numerical and Scientific Computing - Second Edition 2nd Revised edition Edition, Kindle Edition


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About the Author

Sergio J. Rojas G.

Sergio J. Rojas G. is currently a full professor of physics at Universidad Simon Bolivar, Venezuela. Regarding his formal studies, in 1991, he earned a BS in physics with his thesis on numerical relativity from the Universidad de Oriente, Estado Sucre, Venezuela, and then, in 1998, he earned a PhD in physics from the Department of Physics at City College of the City University of New York, where he worked on the applications of fluid dynamics in the flow of fluids in porous media, gaining and developing since then a vast experience in programming as an aid to scientific research via Fortran77/90 and C/C++. In 2001, he also earned a master's degree in computational finance from the Oregon Graduate Institute of Science and Technology. Sergio's teaching activities involve lecturing undergraduate and graduate physics courses at his home university, Universidad Simon Bolivar, Venezuela, including a course on Monte Carlo methods and another on computational finance. His research interests include physics education research, fluid flow in porous media, and the application of the theory of complex systems and statistical mechanics in financial engineering. More recently, Sergio has been involved in machine learning and its applications in science and engineering via the Python programming language.


Product details

  • Format: Kindle Edition
  • File Size: 4631 KB
  • Print Length: 190 pages
  • Page Numbers Source ISBN: 1783987707
  • Publisher: Packt Publishing; 2nd Revised edition edition (26 Feb. 2015)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B00U2MI8O6
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Not Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #854,995 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Most helpful customer reviews on Amazon.com

Amazon.com: 4.1 out of 5 stars 7 reviews
Omphaloskepsis
5.0 out of 5 starsits good if your a novice at using numpy
22 October 2016 - Published on Amazon.com
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One person found this helpful.
Mark M.
4.0 out of 5 starsA good introduction for a new Python developer
3 July 2016 - Published on Amazon.com
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Claudio Caccia
4.0 out of 5 starsgood starting point for Scipy
13 April 2015 - Published on Amazon.com
5 people found this helpful.
Mihai Racovitan
4.0 out of 5 starsA good and concise introduction of Python's library SciPy, written by experts
13 April 2015 - Published on Amazon.com
3 people found this helpful.
Alexander Hanson
3.0 out of 5 starsThis book starts by providing a good detailed introduction into the use of Numpy arrays
12 April 2015 - Published on Amazon.com
5 people found this helpful.
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