A Primer on Scientific Programming with Python by Hans Petter Langtangen

By Hans Petter Langtangen

The booklet serves as a primary advent to desktop programming of clinical functions, 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 heritage and it really is helpful to review classical and numerical one-variable calculus in parallel with examining this booklet. along with studying how you can application desktops, the reader also will how you can resolve mathematical difficulties, coming up in a number of branches of technological know-how and engineering, as a result of numerical tools and programming. by means of mixing programming, arithmetic and medical functions, the booklet lays an exceptional beginning for working towards computational science.

From the reviews: Langtangen … does a great task of introducing programming as a suite of talents in challenge fixing. He publications the reader into pondering correctly approximately generating application good judgment 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 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. cook dinner, The Mathematical organization of the USA, September 2011

This booklet is going via Python particularly, and programming generally, through initiatives that scientists will most probably practice. It includes worthwhile information for scholars new to medical computing and may be the ideal bridge among an advent to programming and a sophisticated direction on numerical tools or computational science.
Alex Small, IEEE, CiSE Vol. 14 (2), March/April 2012  

“This fourth version is an excellent, inclusive textbook that covers pretty well every little thing one must recognize to head from 0 to quite refined clinical programming in Python…”
Joan Horvath, Computing stories, March 2015 


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For example, for viewing the file contents of a folder you can run the command ls in a Unix terminal window or dir in a DOS (Windows) terminal window. The graphical alternatives are many, some of the most common are Windows Explorer on Windows, Nautilus and Konqueror on Unix, and Finder on Mac. To start a program, it is common to double-click on a file icon or write the program’s name in a terminal window. 3 Another Formula: Celsius-Fahrenheit Conversion In this formula, C is the amount of degrees in Celsius, and F is the corresponding temperature measured in Fahrenheit.

In the examples in the first couple of chapters in this book, the algorithms are so simple that we can hardly distinguish them from the program text itself, but later in the book we will carefully set up an algorithm before attempting to implement it in a program. This is useful when the algorithm is much more compact than the resulting program code. The algorithm in the current example consists of three steps: 1. initialize the variables v0 , g , and t with numerical values, 2. 1), 3. print the y value to the screen.

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 . . . . . . . . . Inherit more from classes in Ch.

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