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Python for Scientists
About this book
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.
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Information
Table of contents
- Cover
- Half-title page
- Title page
- Copyright page
- Contents
- Preface to the Second Edition
- Preface to the First Edition
- 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
- Appendix A Installing a Python Environment
- Appendix B Fortran77 Subroutines for Pseudospectral Methods
- References
- Hints for Using the Index
- Index
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Yes, you can access Python for Scientists by John M. Stewart in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over 1.5 million books available in our catalogue for you to explore.