Moruzzi G. Essential Python for the Physicist 2ed 2025
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- Textbook in PDF format This second edition introduces Python programming to readers with little or no prior experience, specifically tailored for physicists and natural sciences students. The book begins with interactive Python exercises to foster familiarity with the language. It then progresses to more complex Python scripts (programs) that readers are encouraged to run on their own computers. Each program listing is thoroughly explained, and readers are encouraged to experiment by modifying code lines or blocks to observe and understand their effects. The text introduces Matplotlib graphics for creating figures representing data, function plots, and visualizations like field lines and equipotential surfaces. It also explores 3D graphics and animated function plots. A dedicated chapter covers the numerical solution of algebraic and transcendental equations. The underlying mathematical principles are thoroughly discussed and the available Python tools for solving these equations are presented. A further chapter is dedicated to the numerical solution of ordinary differential equations (ODEs). 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 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. A special chapter is dedicated to computer animation involving differential equations, with a discussion of the effect of the accumulation of truncation errors, particularly relevant for such fields as molecular dynamics or celestial mechanics, which often require integrating Newton’s equations over a very long time starting from some initial conditions. Symplectic algorithms for tackling this problem are introduced. 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. This second edition incorporates numerous improvements and additions based on reader feedback and the ongoing evolution of the Python libraries. Key updates include: To improve the learning flow, matrices and matrix operations has been moved from Chap. 1 to a new dedicated Chap. 8, providing a more logical and gradual progression for learners. F-strings have been integrated into the print formatting section of Chap. 2 for increased efficiency. The section on file handling has been expanded to include the handling of binary files, crucial for experimental data storage. Expanded Plotting Techniques: Chap. 3 now covers the plotting of equipotential surfaces and three-dimensional plots. A new section in Chap. 6 covers saving Tkinter figures using the Pillow library, essential for generating video files, as discussed in Chap. 7. Chapter 7, on Tkinter animation, now contains a section on generating video files combining frames generated using the Pillow library. Animation involving ordinary differential equations has been moved to a new dedicated Chap. 9. New Chap. 8 on matrix operations, needed in Chaps. 9 and 10. In Chap. 9, “Animation and Ordinary Differential Equations”, the subject has been thoroughly revised, with a new discussion on error accumulation, emphasizing its significance in long-term simulations within fields like molecular dynamics and celestial mechanics. Strategies to mitigate these issues using symplectic algorithms have been added. Chapter 10 introduces the use of dictionaries within classes for improved data organization and management. All Python programs have been updated to comply with the latest version of Python. Eight new exercises have been added, bringing the total to 50. Virtually all code listings have been revised for improved clarity and readability
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