FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World


 Title Computational Physics: An Introduction
 Author(s) Franz J. Vesely
 Publisher: Springer; 2nd ed. (September 27, 2012); eBook (Online Edition)
 Paperback: 276 pages
 eBook: HTML
 Languages: English and Greek
 ISBN10: 1461355001
 ISBN13: 9781461355007
 Share This:
Book Description
A concise introduction to the methods and algorithms used in computational physics, clear in its presentation, useful for those beginning more advanced work in the field. It's also for graduate students of physical and mathematical faculties as well as for specialists in the field of numerical mathematics and mathematical modeling.
Sample programs are be written in JAVA and are accompanied by short explanations and references to this text.
About the Authors N/A
 Computational Physics: An Introduction (Franz J. Vesely)
 The Mirror Site (1)  PDF
 The Mirror Site (2)  PDF

Computational Physics and Scientific Computing: C++ or Fortran
This book is an introduction to the computational methods used in physics, but also in other scientific fields. Both C++ or Fortran are used for programming the core programs and data analysis is performed using the powerful tools of the Gnu/Linux environment.

Computational Physics with Python (Mark Newman)
A complete introduction to the field of computational physics, with examples and exercises in the Python programming language. It explains the fundamentals of computational physics and describes in simple terms the techniques that every physicist should know,.

Computational Physics with Python (Eric Ayars)
This book provides an unusually broad survey of the topics of modern computational physics. Its philosophy is rooted in learning by doing, with new scientific materials as well as with the Python programming language.

Modeling and Simulation in Python (Allen B. Downey)
This book is an introduction to physical modeling using a computational approach with Python. You will learn how to use Python to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; etc.

Programming for Computations  Python 3 Edition
This book outlines the shortest possible path from no previous experience with programming to a set of skills that allows students to write simple programs for solving common mathematical problems with numerical methods in the context.

Scipy Lecture Notes (Emmanuelle Gouillart, et al)
This book teaches the scientific Python ecosystem, a quick introduction to central tools and techniques. It is for programmers from beginner to expert. Work on realworld problems with SciPy, NumPy, Pandas, scikitimage, and other Python libraries.

Solving PDEs in Python: The FEniCS Tutorial I (H. Langtangen)
This book offers a concise and gentle introduction to finite element programming in Python based on the popular FEniCS software library. Using a series of examples, it guides readers through the essential steps to quickly solving a PDE in FEniCS.

From Python to NumPy (Nicolas P. Rougier)
NumPy is one of the most important scientific computing libraries available for Python. This book teaches you how to achieve expert level competency to perform complex operations, with indepth coverage of advanced concepts.

Introduction to Scientific Programming with Python
This book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and examplebased, assuming little or no prior experience in programming.

Python for Everybody: Exploring Data in Python 3
This book is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.

Automate the Boring Stuff with Python (Albert Sweigart)
Learn how to use Python to write programs that do in minutes what would take you hours to do by hand  no prior programming experience required. You'll create Python programs that effortlessly perform useful and impressive feats of automation.
:






















