By Hans Petter Langtangen
The booklet serves as a primary advent to machine 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, records, 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's constructive to check classical and numerical one-variable calculus in parallel with examining this booklet. along with studying easy methods to application desktops, the reader also will find out how to remedy mathematical difficulties, bobbing up in quite a few branches of technology and engineering, by way of numerical tools and programming. through mixing programming, arithmetic and clinical purposes, the e-book lays an excellent beginning for training computational technological know-how.
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Extra resources for A Primer on Scientific Programming with Python
It is easy, as explained below, to recover previous input and edit the text. This editing feature makes it convenient to experiment with statements and expressions. 2342 We can now easily calculate an y value corresponding to another (say) v0 value: hit the up arrow key23 to recover previous statements, repeat pressing this key until the v0 = 5 statement is displayed. You can then edit the line, say you edit the statement to >>> v0 = 6 Press return to execute this statement. You can control the new value of v0 by either typing just v0 or print v0: >>> v0 6 >>> print v0 6 The next step is to recompute y with this new v0 value.
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 .
A special editor for Python programs comes with the Python software. This editor is called Idle and is usually installed under the name idle (or idle-python) on Linux/Unix and Mac. On Windows, it is reachable from the Python entry in the Start menu. Idle has a gentle learning curve, but is mainly restricted to writing Python programs. Completely general editors, such as Emacs and Vim, have a steeper learning curve and can be used for any text files, including reports in student projects. More advanced development environments also exist for Python.