Essential Phython for the Physicist (Record no. 66784)

000 -LEADER
fixed length control field 02359nam a2200193 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030450298
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133
Item number MOR/E
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Moruzzi, Giovanni
245 ## - TITLE STATEMENT
Title Essential Phython for the Physicist
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Switzerland
Name of publisher Springer
Year of publication 2020
300 ## - PHYSICAL DESCRIPTION
Number of Pages 302 p.
520 ## - SUMMARY, ETC.
Summary, etc This book introduces the reader with little or no previous computer-programming experience to the Python programming language of interest for a physicist or a natural-sciences student. The book starts with basic interactive Python in order to acquire an introductory familiarity with the language, than tackle Python scripts (programs) of increasing complexity, that the reader is invited to run on her/his computer. All program listings are discussed in detail, and the reader is invited to experiment on what happens if some code lines are modified. The reader is introduced to Matplotlib graphics for the generation of figures representing data and function plots and, for instance, field lines. Animated function plots are also considered. A chapter is dedicated to the numerical solution of algebraic and transcendental equations, the basic mathematical principles are discussed and the available Python tools for the solution are presented. A further chapter is dedicated to the numerical solution of ordinary differential equations. This is of vital importance for the physicist, since differential equations are at the base of both classical physics (Newton’s equations) and quantum mechanics (Schroedinger’s equation). The shooting method for the numerical solution of ordinary differential equations with boundary conditions at two boundaries is also presented. Python programs for the solution of two quantum-mechanics problems are discussed as examples. Two chapters are dedicated to Tkinter graphics, which gives the user more freedom than Matplotlib, and to Tkinter animation. Programs displaying the animation of physical problems involving the solution of ordinary differential equations (for which in most cases there is no algebraic solution) in real time are presented and discussed. Finally, 3D animation is presented with Vpython.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Physics--Data processing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Python (Computer program language)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Numerical analysis
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer graphics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer programming
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type BK
952 ## - LOCATION AND ITEM INFORMATION (KOHA)
Withdrawn status
Lost status
Damaged status
Holdings
Collection code Home library Shelving location Date acquired Full call number Accession Number Koha item type
Stack Kannur University Central Library Stack 07/06/2023 005.133 MOR/E 59566 BK

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