Enlarged eTextBook Python 3rd Edition Computational Physics problem solving with computers Rubin H Landau, Manuel J Paez, Cristian Bordeianu with Video Production by Sally Haerer

© R Landau, M J Paez, C Bordeianu, 2013.
© WILEY-VCH Verlag GmbH & Co., 2007.
- Based on paper text Computational Physics, problem solving with computers, 2nd Edition (Java Version), WILEY-VCH GmbH, 2007.
- Part of the BMACC project supported by the National Science Foundation CCLI-0836971. Opinions, findings, and conclusions or recommendations expressed in these materials are those of the authors and do not necessarily reflect the views of the NSF.

Table of Contents
All Multimedia in Computational Physics by R H Landau, M J Paez and C. C Bordeianu, Computational Physics, 3rd Edition is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
Permissions beyond the scope of this license may be available at Wiley-VCH Verlag.

Computational Physics, problem solving with computers (Compadre pdf Version, downloadable)

contains the text with Web links to files that need to accompany the text (incl Flash lectures). Local links are faster, but would require download of individual diurectories.

What is this eTextBook? A pdf file that can be read using the free Abode Acrobat Reader or, for more functionality, with Acrobat Pro ($). The eBook's figures, equations, sections, chapters, index, table of contents, code listings, glossary, animations and executebale codes (both Applets and Python programs) are linked, much like in a Web document. There are also links to video-based lectures covering most topics in the text, as well as to the slides used in the lectures. Section 1.2 of the text discusses how to use the various electronic features. Some movies are encapsulated into the text and some equations are linked to their xml forms (which can be imported into Maple or Mathematica for manipulated).

About the Subject Matter This upper-division text surveys of many of the topics of modern computational physics from a computational science point of view. Its emphasis on learning by doing (assisted by many model programs), as with 2nd Edition, but with new materials as well as with Python. The text overlaps the lower-division A First Course in Scientific Computing (Landau) to provide economical, computational science/physics materials at all levels of undergraduate curriculum. The text is designed for a one- or two-semester undergraduate or beginning graduate course.