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

By Hans Petter Langtangen

The publication serves as a primary advent to laptop 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, statistics, 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 constructive to check classical and numerical one-variable calculus in parallel with studying this e-book. along with studying how one can software desktops, the reader also will methods to remedy mathematical difficulties, coming up in quite a few branches of technology and engineering, by way of numerical tools and programming. by means of mixing programming, arithmetic and clinical functions, the publication lays an outstanding starting place for working towards computational science.

From the reviews: Langtangen … does a superb activity of introducing programming as a suite of abilities in challenge fixing. He courses the reader into pondering competently approximately generating application common sense and knowledge constructions for modeling real-world difficulties utilizing items and features 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 direction out of Langtangen’s Primer.” 
John D. cook dinner, The Mathematical organization of the United States, September 2011

This publication is going via Python particularly, and programming as a rule, through projects that scientists will most probably practice. It includes worthy information for scholars new to medical computing and often is the excellent bridge among an advent to programming and a sophisticated path on numerical equipment 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 comprehend to head from 0 to really refined clinical programming in Python…”
Joan Horvath, Computing reports, March 2015 

 

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Sample text

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 . . . . . . . . . . . . . . 45 Formulate a 2nd-order ODE as a system . . . . 46 Solve the system in Exer. 45 in a special case .

18 Use the ODESolver hierarchy to solve a simple ODE . . . . . . . . . . . . . . . . . . . . 34) . . . . 20 Solve an ODE until constant solution . . . . . . 21 Use classes in Exer. 20 . . . . . . . . . . . 22 Scale away parameters in Exer. 20 . . . . . . 23 Compare ODE methods . . . . . . . . . . . 24 Solve two coupled ODEs for radioactive decay . . 36) . . 27 Code a 2nd-order Runge-Kutta method; class . . 28 Implement a midpoint method for ODEs .

Simulate the problems in Exer. 26 . . . . . . Simulate a poker game . . . . . . . . . . . . Write a non-vectorized version of a code . . . . Estimate growth in a simulation model . . . . . Investigate guessing strategies for Ch. 1 . . . Make a vectorized solution to Exer. 7 . . . . . Compare two playing strategies . . . . . . . . 27 with different no. of dice . . . 28 . . . . . . . . . . . . . Compute π by a Monte Carlo method .

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