Learning SciPy for Numerical and Scientific Computing Second Edition: Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy

Sergio Rojas,Erik A Christensen

ISBN 10: 1783987707 / ISBN 13: 9781783987702

Published by Packt Publishing, 2015

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Bibliographic Details

• Title: Learning SciPy for Numerical and Scientific Computing Second Edition: Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy
• Publisher: Packt Publishing
• Publication Date: 2015
• Language: English
• ISBN 10: 1783987707
• ISBN 13: 9781783987702
• Binding: paperback
• Edition: 2nd Edition
• Condition: Very Good

About this title

Synopsis

This book targets programmers and scientists who have basic Python knowledge and are keen in performing scientific and numerical computations with SciPy.

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.