By Hans Petter Langtangen
The publication serves as a primary creation to laptop programming of clinical purposes, utilizing the high-level Python language. The exposition is instance- and problem-oriented, the place the functions are taken from arithmetic, numerical calculus, records, physics, biology, and finance. The e-book teaches "Matlab-style" and procedural programming in addition to object-oriented programming. highschool arithmetic is a required heritage, and it truly is useful to check classical and numerical one-variable calculus in parallel with analyzing this ebook. along with studying tips on how to application pcs, the reader also will clear up mathematical difficulties, coming up in quite a few branches of technology and engineering, due to numerical equipment and programming. through mixing programming, arithmetic and clinical functions, the booklet lays a fantastic starting place for working towards computational technological know-how.
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Extra resources for A Primer on Scientific Programming with Python
Simulate a falling or rising body in a fluid . . . . Check the solution’s limit in Exer. 5 . . . . . Visualize the different forces in Exer. 5 . . . . Solve an ODE until constant solution . . . . . . Use classes in Exer. 8 . . . . . . . . . . . . Scale away parameters in Exer. 8 . . . . . . 32) . . . . Compare ODE methods . . . . . . . . . . . Compare ODE methods . . . . . . . . . . . Solve two coupled ODEs for radioactive decay .
Simulate a falling or rising body in a fluid . . . . Check the solution’s limit in Exer. 5 . . . . . Visualize the different forces in Exer. 5 . . . . Solve an ODE until constant solution . . . . . . Use classes in Exer. 8 . . . . . . . . . . . . Scale away parameters in Exer. 8 . . . . . . 32) . . . . Compare ODE methods . . . . . . . . . . . Compare ODE methods . . . . . . . . . . . Solve two coupled ODEs for radioactive decay . . Code a 2nd-order Runge-Kutta method; function Code a 2nd-order Runge-Kutta method; class .
These reserved words cannot be used as variable names: and, as, assert, break, class, continue, def, del, elif, else, except, False, finally, for, from, global, if, import, in, is, lambda, None, nonlocal, not, or, pass, raise, return, True, try, with, while, and yield. You may, for instance, add an underscore at the end to turn a reserved word into a variable name. 17 for examples on legal and illegal variable names. 10 Comments Along with the program statements it is often informative to provide some comments in a natural human language to explain the idea behind the statements.
A Primer on Scientific Programming with Python by Hans Petter Langtangen
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