Download A Primer on Scientific Programming with Python by Hans Petter Langtangen PDF

By Hans Petter Langtangen

The ebook serves as a primary advent to desktop programming of clinical purposes, 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 ebook teaches "Matlab-style" and procedural programming in addition to object-oriented programming. highschool arithmetic is a required history and it's effective to review classical and numerical one-variable calculus in parallel with studying this booklet. in addition to studying easy methods to software desktops, the reader also will tips on how to clear up mathematical difficulties, coming up in quite a few branches of technological know-how and engineering, by means of numerical tools and programming. via mixing programming, arithmetic and medical functions, the e-book lays an excellent starting place for practising computational science.

From the reviews: Langtangen … does a superb activity of introducing programming as a suite of talents in challenge fixing. He courses the reader into considering thoroughly approximately generating software good judgment and knowledge constructions for modeling real-world difficulties utilizing gadgets and capabilities and embracing the object-oriented paradigm. … Summing Up: hugely recommended. 

F. H. Wild III, selection, Vol. forty seven (8), April 2010

Those folks who've discovered medical programming in Python ‘on the streets’ can be a little jealous of scholars who've the chance to take a path out of Langtangen’s Primer.” 
John D. cook dinner, The Mathematical organization of the United States, September 2011

This ebook is going via Python particularly, and programming mostly, through initiatives that scientists will most likely practice. It includes priceless information for scholars new to clinical computing and stands out as the excellent bridge among an advent to programming and a complicated path on numerical equipment or computational science.
Alex Small, IEEE, CiSE Vol. 14 (2), March/April 2012  

“This fourth version is an excellent, inclusive textbook that covers pretty well every little thing one must comprehend to head from 0 to really refined medical programming in Python…”
Joan Horvath, Computing studies, March 2015 

 

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Example text

Solve a simple ODE in two ways . . . . . . . . 36) . . . . . . . . . . . . Simulate a falling or rising body in a fluid . . . . Check the solution’s limit in Exer. 25 . . . . . Implement the modified Euler method; function . Implement the modified Euler method; class . . . Increase the flexibility in Exer. 28 . . . . . . Solve an ODE specified on the command line . . Apply a polynomial class . . . . . . . . . . . Find a bug in a class for polynomials .

Decide if a dice game is fair . . . . . . . . . . Adjust the game in Exer. 7 . . . . . . . . . Probabilities of throwing two dice . . . . . . . Compute the probability of drawing balls . . . . Compute the probability of hands of cards . . . Play with vectorized boolean expressions . . . . Vectorize the program from Exer. 1 . . . . . . Vectorize the code in Exer. 2 . . . . . . . . Throw dice and compute a small probability . . Difference equation for random numbers .

Find a bug in a class for polynomials . . . . . . Subtraction of polynomials . . . . . . . . . . Represent a polynomial by an array . . . . . . Vectorize a class for polynomials . . . . . . . . Use a dict to hold polynomial coefficients; add . . Use a dict to hold polynomial coefficients; mul . . Extend class Vec2D to work with lists/tuples . . Use NumPy arrays in class Vec2D . . . . . . . Use classes in the program from Ch. 2 . .

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