國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Essential Python for the physicist

Moruzzi, Giovanni.

Essential Python for the physicist

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Essential Python for the physicistby Giovanni Moruzzi.
作者:	Moruzzi, Giovanni.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	x, 302 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Python (Computer program language)
電子資源:	https://doi.org/10.1007/978-3-030-45027-4
ISBN:	9783030450274$q(electronic bk.)

Essential Python for the physicist
Moruzzi, Giovanni.

Essential Python for the physicist[electronic resource] /by Giovanni Moruzzi. - Cham :Springer International Publishing :2020. - x, 302 p. :ill., digital ;24 cm.

Preface -- 1 Python Basics and the Interactive Mode -- 2 Python Scripts -- 3 Plotting with Matplotlib -- 4 Numerical Solution of Equations -- Numerical Solution of Ordinary Dierential Equations (ODE) -- 6 Tkinter Graphics -- 7 Tkinter Animation -- 8. Classes -- 9 Appendix.

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.

ISBN: 9783030450274$q(electronic bk.)

Standard No.: 10.1007/978-3-030-45027-4doiSubjects--Topical Terms:

215247
Python (Computer program language)

LC Class. No.: QA76.73.P98 / M678 2020

Dewey Class. No.: 005.133

Essential Python for the physicist
LDR:03019nmm a2200325 a 4500 001 579969
003 DE-He213
005 20200602133911.0
006 m
007 cr
008 201229s2020
020 $a 9783030450274$q(electronic bk.)
020 $a 9783030450267$q(paper)
024 7 $a 10.1007/978-3-030-45027-4 $2 doi
035 $a 978-3-030-45027-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.73.P98 $b M678 2020
072 7 $a PHU $2 bicssc
072 7 $a SCI040000 $2 bisacsh
072 7 $a PHU $2 thema
082 0 4 $a 005.133 $2 23
090 $a QA76.73.P98 $b M891 2020
100 1 $a Moruzzi, Giovanni. $3 798226
245 1 0 $a Essential Python for the physicist $h [electronic resource] / $c by Giovanni Moruzzi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a x, 302 p. : $b ill., digital ; $c 24 cm.
505 0 $a Preface -- 1 Python Basics and the Interactive Mode -- 2 Python Scripts -- 3 Plotting with Matplotlib -- 4 Numerical Solution of Equations -- Numerical Solution of Ordinary Dierential Equations (ODE) -- 6 Tkinter Graphics -- 7 Tkinter Animation -- 8. Classes -- 9 Appendix.
520 $a 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 0 $a Python (Computer program language) $3 215247
650 0 $a Physics $x Data processing. $3 204880
650 1 4 $a Numerical and Computational Physics, Simulation. $3 758154
650 2 4 $a Programming Techniques. $3 274470
650 2 4 $a Numeric Computing. $3 275524
650 2 4 $a Computer Graphics. $3 274515
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-3-030-45027-4
950 $a Physics and Astronomy (Springer-11651)