It is easy to see that language has fantastic facilities for general use. The question why Python is the ideal language for scientific applications? The answers are many, and some might be summarized in this guide. Briefly, the first reason, and probably the main one, Python is an expressive language that is easy to translate the reasoning in an algorithm. In scientific applications, the argument is intrinsically complicated - this is the nature of science. It is an additional problem for the scientist has to worry about, beyond the basics of his research subject, the program correction in some relevant memory allocation, resource management, etc. Python automatically does it all very efficiently.
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This is a very structured and we'll written. The book provides step by step instructions on how to make the most of this very flexible scientific programming language.