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

By Hans Petter Langtangen

The booklet serves as a primary creation to computing device 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, facts, physics, biology and finance. The booklet teaches "Matlab-style" and procedural programming in addition to object-oriented programming. highschool arithmetic is a required history and it's helpful to check classical and numerical one-variable calculus in parallel with studying this e-book. in addition to studying find out how to software pcs, the reader also will how one can clear up mathematical difficulties, coming up in a number of branches of technology and engineering, by way of numerical tools and programming. via mixing programming, arithmetic and clinical functions, the publication lays a superb starting place for practising computational science.

From the reviews: Langtangen … does an exceptional task of introducing programming as a suite of abilities in challenge fixing. He courses the reader into pondering adequately approximately generating application common sense and information buildings for modeling real-world difficulties utilizing gadgets and services 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 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 USA, September 2011

This publication is going via Python particularly, and programming usually, through projects that scientists will most probably practice. It includes worthwhile information for scholars new to clinical computing and could be the ideal bridge among an creation to programming and a sophisticated direction 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 little thing one must understand to head from 0 to relatively subtle clinical programming in Python…”
Joan Horvath, Computing stories, March 2015 

 

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Solve an ODE for y(x) . . . . . . . . . . . . Experience instability of an ODE . . . . . . . Solve an ODE for the arc length . . . . . . . . Solve an ODE with time-varying growth . . . . Solve an ODE for emptying a tank . . . . . . . Solve an ODE system for an electric circuit . . . Use a w function with a step . . . . . . . . . 1 . . . . Improve input to the simulation program . . . . 601 602 602 603 621 621 621 622 622 622 623 623 649 649 650 1 Computing with Formulas Our first examples on computer programming involve programs that evaluate mathematical formulas.

2 . . . . Use a class in Exer. 28 . . . . . . . . . . . Apply the class from Exer. 41 interactively . . Find the optimal production for a company . . . Extend the program from Exer. 43 . . . . . . Model the economy of fishing . . . . . . . . . Flip a coin N times . . . . . . . . . . . . . Compute a probability . . . . . . . . . . . . Choose random colors . . . . . . . . . . . . Draw balls from a hat . . . . . . . . . .

Simulate stock prices . . . . . . . . . . . . . Compute with option prices in finance . . . . . Compute velocity and acceleration . . . . . . . Numerical differentiation of noisy signals . . . . Model the noise in the data in Exer. 44 . . . . Reduce the noise in Exer. 44 . . . . . . . . . Find the expected waiting time in traffic lights . Demonstrate the magic of inheritance . . . . . Inherit from classes in Ch. 1 . . . . .

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