By Hans Petter Langtangen
With a main specialise in examples and purposes of relevance to computational scientists, this brilliantly invaluable booklet exhibits computational scientists find out how to strengthen adapted, versatile, and human-efficient operating environments equipped from small scripts written within the easy-to-learn, high-level Python language. the entire instruments and examples during this publication are open resource codes. This 3rd variation positive aspects plenty of new fabric. it's also published after a entire reorganization of the textual content. the writer has inserted better examples and instruments and up-to-date info, in addition to correcting any mistakes that crept in to the 1st imprint.
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Extra resources for Python Scripting for Computational Science (Texts in Computational Science and Engineering)
B. five. 1 Mercurial . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . B. five. 2 Subversion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . routines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 689 689 693 694 696 696 698 702 702 706 711 711 715 719 720 724 726 728 729 732 734 Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 739 Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 741 List of workouts workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout workout 2. 1 2. 2 2. three 2. four 2. five 2. 6 2. 7 2. eight 2. nine 2. 10 2. eleven 2. 12 2. thirteen 2. 14 2. 15 2. sixteen 2. 17 three. 1 three. 2 three. three three. four three. five three. 6 three. 7 three. eight three. nine three. 10 three. eleven three. 12 three. thirteen three. 14 three. 15 three. sixteen three. 17 three. 18 three. 19 four. 1 four. 2 four. three four. four familiarize yourself with the digital documentation . . . . . expand workout 2. 1 with a loop . . . . . . . . . . . . . . . . . . . . . locate 5 mistakes in a script . . . . . . . . . . . . . . . . . . . . . . . . . . uncomplicated use of keep watch over constructions . . . . . . . . . . . . . . . . . . . . . . . Use general input/output rather than documents . . . . . . . . . . . . . learn streams of (x, y) pairs from the command line . . . . attempt for particular exceptions . . . . . . . . . . . . . . . . . . . . . . . . . . Sum columns in a dossier . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Estimate the opportunity of an occasion in a cube video game . . . . . . . . verify if you happen to win or free a possibility online game . . . . . . . . . . Generate an HTML record from the simviz1. py script . . Generate a LATEX file from the simviz1. py script . . . . Compute time step values within the simviz1. py script . . . . . Use Matlab for curve plotting within the simviz1. py script . . mix curves from simulations in a single plot . . . . . . . mix two-column information documents to a multi-column dossier . . . Read/write Excel information documents in Python . . . . . . . . . . . . . . . . Write layout requisites in printf-style . . . . . . . . . . . . . Write your individual functionality for becoming a member of strings . . . . . . . . . . . . Write a better functionality for becoming a member of strings . . . . . . . . . by no means adjust an inventory you're iterating on . . . . . . . . . . . . . . . Make a really expert type functionality . . . . . . . . . . . . . . . . . . . . . money in the event that your method has a particular application . . . . . . . . . . . locate the trails to a set of courses . . . . . . . . . . . . Use workout three. 7 to enhance the simviz1. py script . . . . . . Use workout three. 7 to enhance the loop4simviz2. py script . locate the model variety of a software . . . . . . . . . . . . . . . . . . Automate execution of a kinfolk of comparable instructions . . . eliminate transitority records in a listing tree . . . . . . . . . . . . locate outdated and massive records in a listing tree . . . . . . . . . . . . . get rid of redundant records in a listing tree . . . . . . . . . . . . Annotate a filename with the present date . . . . . . . . . . . . computerized backup of lately converted records . . . . . . . . . . . look for a textual content in records with yes extensions . . . . . . . . seek directories for plots and make HTML document . . . . repair Unix/Windows Line Ends . . . . . . . . . . . . . . . . . . . . . . . Matrix-vector multiply with NumPy arrays . . . . . . . . . . . . paintings with cutting and matrix multiplication .
