By Hans Petter Langtangen
The ebook 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, information, 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's effective to review classical and numerical one-variable calculus in parallel with analyzing this booklet. in addition to studying how you can software desktops, the reader also will how one can resolve mathematical difficulties, coming up in quite a few branches of technological know-how and engineering, via numerical equipment and programming. via mixing programming, arithmetic and clinical purposes, the ebook lays a great starting place for practising computational science.
From the reviews: Langtangen … does a good activity of introducing programming as a suite of abilities in challenge fixing. He publications the reader into considering thoroughly approximately generating software common sense and knowledge 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 people who've realized clinical programming in Python ‘on the streets’ can be a little jealous of scholars who've the chance to take a direction out of Langtangen’s Primer.”
John D. cook dinner, The Mathematical organization of the US, September 2011
This booklet is going via Python particularly, and programming more often than not, through projects that scientists will most likely practice. It comprises precious information for scholars new to clinical computing and will be the ideal bridge among an advent to programming and a sophisticated direction on numerical equipment or computational science.
Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012
“This fourth variation is a superb, inclusive textbook that covers pretty well every thing one must comprehend to move from 0 to quite subtle medical programming in Python…”
Joan Horvath, Computing experiences, March 2015
Read or Download A Primer on Scientific Programming with Python PDF
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The e-book serves as a primary advent to machine programming of medical purposes, utilizing the high-level Python language. The exposition is instance and problem-oriented, the place the purposes are taken from arithmetic, numerical calculus, statistics, physics, biology and finance. The booklet teaches "Matlab-style" and procedural programming in addition to object-oriented programming.
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Additional resources for A Primer on Scientific Programming with Python
Apply the differentiation class from Ch. 2 . . Use classes for computing inverse functions . . . Vectorize a class for numerical integration . . . . Speed up repeated integral calculations . . . . . 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 .
In Python, the square root function and lots of other mathematical functions, such as sin, cos, sinh, exp, and log, are available in a module called math. We must first import the module before we can use it, that is, we must write import math. sqrt(a). 2 m. py in the src/formulas folder. Two Ways of Importing a Module. sqrt(y) less pleasing than just sqrt(y). Fortunately, there is an alternative import syntax that allows us to skip the module name prefix. This alternative syntax has the form “from module import function”.
36 Make a class for drawing a person . . . . . . . 37 Animate a person with waving hands . . . . . . 38 Make a class for drawing a car . . . . . . . . . 39 Make a car roll . . . . . . . . . . . . . . . 40 Make a class for differentiating noisy data . . . . 41 Find local and global extrema of a function . . . 42 Improve the accuracy in Exer. 41 . . . . . . . 43 Make a calculus calculator class . . . . . . . . 44 Extend Exer. 43 . . . . .