Python for Scientists
eBook - PDF

Python for Scientists

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

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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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 one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title page
  3. Title page
  4. Copyright page
  5. Contents
  6. Preface to the Second Edition
  7. Preface to the First Edition
  8. 1 Introduction
  9. 2 Getting Started with IPython
  10. 3 A Short Python Tutorial
  11. 4 NumPy
  12. 5 Two-Dimensional Graphics
  13. 6 Multi-Dimensional Graphics
  14. 7 SymPy: A Computer Algebra System
  15. 8 Ordinary Differential Equations
  16. 9 Partial Differential Equations: A Pseudospectral Approach
  17. 10 Case Study: Multigrid
  18. Appendix A Installing a Python Environment
  19. Appendix B Fortran77 Subroutines for Pseudospectral Methods
  20. References
  21. Hints for Using the Index
  22. Index