By Hans Petter Langtangen

ISBN-10: 3642549594

ISBN-13: 9783642549595

The booklet serves as a primary advent to machine programming of medical functions, utilizing the high-level Python language. The exposition is instance and problem-oriented, the place the purposes are taken from arithmetic, numerical calculus, information, physics, biology and finance. The e-book teaches "Matlab-style" and procedural programming in addition to object-oriented programming. highschool arithmetic is a required historical past and it truly is beneficial to check classical and numerical one-variable calculus in parallel with interpreting this e-book. along with studying tips on how to application pcs, the reader also will methods to remedy mathematical difficulties, coming up in quite a few branches of technology and engineering, because of numerical tools and programming. by way of mixing programming, arithmetic and clinical functions, the booklet lays a fantastic starting place for training computational technology.

**Read Online or Download A Primer on Scientific Programming with Python (4th Edition) (Texts in Computational Science and Engineering, Volume 6) PDF**

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**Additional resources for A Primer on Scientific Programming with Python (4th Edition) (Texts in Computational Science and Engineering, Volume 6)**

**Example text**

33: Code the iterated midpoint method; class . . . . 38: Find a body’s position along with its velocity . . 39: Add the effect of air resistance on a ball . . . . . 40: Solve an ODE system for an electric circuit . . . 42: Introduce problem and solver classes in the SIR model . . . . . . . . . . . . . . . . . . . 43: Introduce vaccination in a SIR model . . . . . . 44: Introduce a vaccination campaign in a SIR model . 45: Find an optimal vaccination period . . .

Some messages about Python are written out together with a prompt »>, after which you can issue commands. Let us try to use the interactive shell as a calculator. 1] on linux2 Type "help", "copyright", "credits" or "license" for more information. 0 The text on a line after »> is what we write (shell input) and the text without the »> prompt is the result that Python calculates (shell output). It is easy, as explained below, to recover previous input and edit the text. This editing feature makes it convenient to experiment with statements and expressions.

12: Solve an ODE until constant solution . . . . . . 13: Use a problem class to hold data about an ODE . 14: Derive and solve a scaled ODE problem . . . . . 15: Clean up a file to make it a module . . . . . . . 16: Simulate radioactive decay . . . . . . . . . . 17: Compute inverse functions by solving an ODE . . 18: Make a class for computing inverse functions . . . 19: Add functionality to a class . . . . . . . . . . 20: Compute inverse functions by interpolation .

### A Primer on Scientific Programming with Python (4th Edition) (Texts in Computational Science and Engineering, Volume 6) by Hans Petter Langtangen

by Charles

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