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Python for Scientists 2nd Edition by John M Stewart ISBN 1316641236 9781316641231

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Python for Scientists 2nd Edition John M. Stewart Digital Instant Download

Author(s): John M. Stewart
ISBN(s): 9781316641231, 1316641236
Edition: 2nd
File Details: PDF, 4.29 MB
Year: 2017
Language: english
SKU: EB-6685648 Category: Tag:

Python for Scientists 2nd Edition by John M. Stewart – Ebook PDF Instant Download/Delivery: 1316641236, 9781316641231

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Product details:

ISBN 10: 1316641236 

ISBN 13: 9781316641231

Author: John M. Stewart

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.

  • Assumes no previous knowledge of any programming language
  • Contains copious snippets of tested code, all available online, which the reader is encouraged to try
  • Draws examples from many different fields
  • Teaches readers how to use pre-existing legacy code (usually in Fortran77) within the Python environment, thus avoiding the need to master the original code

Table of contents:

1. Introduction
2. Getting started with IPython
3. A short Python tutorial
4. NumPy
5. Two-dimensional graphics
6. Multi-dimensional graphics
7. SymPy, a computer algebra system
8. Ordinary differential equations
9. Partial differential equations – a pseudospectral approach
10. Case study – multigrid

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Tags: John M Stewart, Python, Scientists