Learning Scientific Programming with Python. Breeding tritium for a fusion reactor. Diffusion on the surface of a torus. Non-linear least squares fitting of a two-dimensional data. ExB drift for an arbitrary electric potential. Crystal reports activex viewer ie 11. Depicting a torus as an SVG image. Reaching Orbit. PDF On Jan 1, 2009, H P Langtangen and others published A Primer on Scientific Programming with Python For full functionality of ResearchGate it is necessary to enable JavaScript. A Primer on Scientific Programming with Python ^Sprringei r. Contents 1 Computing with Formulas 1 1.1 The First Programming Encounter: A Formula 1 1.1.1 Using a Program as a Calculator 2 1.1.2 About Programs and Programming 2 1.1.3 Tools for Writing Programs 3. A Primer on Scientific Programming with Python, 4th Edition. February 3, 2017 Books. The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus. Python Basics.out* Python_Basics_fig1.pdf* Python Basics.pdf* Python_Basics_fig1.png* Python Basics.synctex.gz* Python_Basics_figs.graffle/ If you are reading the present document in pdf format, you should consider downloading the notebook version so you can follow along with interactive calculations and experiments, as you learn Python Basics.
Book Name: A Primer on Scientific Programming with Python, 4th edition
Author: Hans Petter Langtangen
ISBN-10: 3642549586
Year: 2014
Pages: 872
Language: English
File size: 7.15 MB
File format: PDF
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The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches “Matlab-style” and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.