By Hans Petter Langtangen
The publication 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 booklet 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 review classical and numerical one-variable calculus in parallel with interpreting this ebook. in addition to studying the best way to application pcs, the reader also will methods to remedy mathematical difficulties, coming up in a number of branches of technological know-how and engineering, simply by numerical equipment and programming. via mixing programming, arithmetic and clinical purposes, the booklet lays an outstanding origin for practising computational science.
From the reviews: Langtangen … does an exceptional activity of introducing programming as a suite of talents in challenge fixing. He publications the reader into considering safely approximately generating software good judgment and information buildings for modeling real-world difficulties utilizing items and services 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 discovered clinical 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 USA, September 2011
This ebook is going via Python particularly, and programming usually, through projects that scientists will most probably practice. It includes precious information for scholars new to medical computing and may be the ideal bridge among an creation to programming and a complicated path on numerical equipment or computational science.
Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012
“This fourth variation is an excellent, inclusive textbook that covers pretty well every little thing one must be aware of to move from 0 to relatively refined clinical programming in Python…”
Joan Horvath, Computing reports, March 2015
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Additional info 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 .
Unix was invented already in 1970 and comes in many different versions. Nowadays, two open source implementations of Unix, Linux and Free BSD Unix, are most common. The latter forms the core of the Mac OS X operating system on Macintosh machines, while Linux exists in slightly different flavors: Red Hat, Debian, Ubuntu, and Suse to mention the most important distributions. We will use the term Unix in this book as a synonym for all the operating systems that inherit from classical Unix, such as Solaris, Free BSD, Mac OS X, and any Linux variant.
Compare two playing strategies . . . . . . . . 27 with different no. of dice . . . 28 . . . . . . . . . . . . . Compute π by a Monte Carlo method . . . . . Do a variant of Exer. 30 . . . . . . . . . . . Compute π by a random sum . . . . . . . . . 1D random walk with drift . . . . . . . . . . 1D random walk until a point is hit . . . . . . Make a class for 2D random walk . . . . . . . Vectorize the class code from Exer. 35 .