A Primer on Scientific Programming with Python by Hans Petter Langtangen

By Hans Petter Langtangen

The e-book serves as a primary creation to machine programming of medical purposes, utilizing the high-level Python language. The exposition is instance and problem-oriented, the place the functions are taken from arithmetic, numerical calculus, facts, physics, biology and finance. The publication teaches "Matlab-style" and procedural programming in addition to object-oriented programming. highschool arithmetic is a required history and it truly is positive to check classical and numerical one-variable calculus in parallel with examining this booklet. in addition to studying the way to application pcs, the reader also will how you can clear up mathematical difficulties, coming up in numerous branches of technological know-how and engineering, via numerical equipment and programming. through mixing programming, arithmetic and medical functions, the publication lays a superb beginning for training computational science.

From the reviews: Langtangen … does a good activity of introducing programming as a suite of talents in challenge fixing. He courses the reader into considering effectively approximately generating application common sense and information constructions for modeling real-world difficulties utilizing items 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. prepare dinner, The Mathematical organization of the United States, September 2011

This e-book is going via Python particularly, and programming regularly, through initiatives that scientists will most likely practice. It comprises invaluable information for scholars new to medical computing and may be the excellent bridge among an advent to programming and a complicated direction on numerical tools or computational science.
Alex Small, IEEE, CiSE Vol. 14 (2), March/April 2012  

“This fourth version is a superb, inclusive textbook that covers pretty well every thing one must recognize to head from 0 to particularly refined clinical programming in Python…”
Joan Horvath, Computing reports, March 2015 


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Extra resources for A Primer on Scientific Programming with Python

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Probabilities of rolling dice . . . . . . . . . . Estimate the probability in a dice game . . . . . 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 . . . . . .

1 Potential Error: Integer Division Straightforward Coding of the Formula. 2) goes as follows16 : C = 21 F = (9/5)*C + 32 print F When run, this program prints the value 53. py17 in the src/formulas folder – as all other programs from this chapter. Verifying the Results. 8, not 53. What is wrong? The formula in the program looks correct! Float and Integer Division. The error in our program above is one of the most common errors in mathematical software and is not at all obvious for a newcomer to programming.

Spaces are often important in Python programs, and editors for plain text give you complete control of the spaces and all other characters in the program file. 3 Other examples are OpenOffice, TextEdit, iWork Pages, and BBEdit. 3 gives some insight into why such programs are not suitable for writing your own Python programs. 3 4 1 Computing with Formulas Emacs, XEmacs, and Vim are popular editors for writing programs on Linux or Unix systems, including Mac4 computers. On Windows we recommend Notepad++ or the Window versions of Emacs or Vim.

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