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  • Cited by 1
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    This book has been cited by the following publications. This list is generated based on data provided by CrossRef.

    MacCallum, Malcolm A. H. 2018. Computer algebra in gravity research. Living Reviews in Relativity, Vol. 21, Issue. 1,

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Book description

Scientific Python is a significant public domain alternative to expensive proprietary software packages. This book teaches from scratch everything the working scientist needs to know using copious, downloadable, useful and adaptable code snippets. Readers will discover how easy it is to implement and test non-trivial mathematical algorithms and will be guided through the many freely available add-on modules. A range of examples, relevant to many different fields, illustrate the language's capabilities. The author also shows how to use pre-existing legacy code (usually in Fortran77) within the Python environment, thus avoiding the need to master the original code. In this new edition, several chapters have been re-written to reflect the IPython notebook style. With an extended index, an entirely new chapter discussing SymPy and a substantial increase in the number of code snippets, researchers and research students will be able to quickly acquire all the skills needed for using Python effectively.

Reviews

Review of first edition:‘… the practitioner who wants to learn Python will love it. This is the type of book I have been looking for to learn Python … concise, yet practical.'

Adhemar Bultheel Source: European Mathematical Society (euro-math-soc.eu)

'… I still think the conciseness of the book is a major asset. It provides just enough to get you started with the language if you are already familiar with some computer programming or with a system like Maple or Mathematica.'

Adhemar Bultheel Source: European Mathematical Society (euro-math-soc.eu)

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