Learning Scipy for Numerical and Scientific Computing

G., Sergio J. Rojas; Christensen, Erik A; Blanco-Silva, Francisco J.

ISBN 10: 1783987707 / ISBN 13: 9781783987702

Published by Packt Publishing, 2015

About this Item

The book may have minor cosmetic wear (i.e. creased spine/cover, scratches, curled corners, folded pages, minor sunburn, minor water damage, minor bent). The book may have some highlights/notes/underlined pages - Accessories such as CD, codes, toys, may not be included - Safe and Secure Mailer - No Hassle Return.

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Bibliographic Details

• Title: Learning Scipy for Numerical and Scientific Computing
• Publisher: Packt Publishing
• Publication Date: 2015
• Language: English
• ISBN 10: 1783987707
• ISBN 13: 9781783987702
• Binding: Soft cover
• Edition: 2nd Edition
• Condition: 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. 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. Erik A Christensen is a quant analyst/developer in finance and creative industries. He has a PhD from the Technical University of Denmark, with postdoctoral studies at the Levich Institute at the City College of the City University of New York and the Courant Institute of Mathematical Sciences at New York University. His interests in technology span from Python to F# and Cassandra/Spark. He is active in the meet-up communities in London! 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 Modeling Nanoscale Imaging in Electron Microscopy, Springer along with Peter Binev, Wolfgang Dahmen, and Thomas Vogt.