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This repository contains source code programs and some notes to complement the book about the scientific Python module SciPy entitle Learning SciPy for Numerical and Scientific Computing - Second Edition (2015), of Pack Publishing authored by Sergio J. Rojas G., Erik A Christensen, and Francisco J. Blanco-Silva. This repository is maintained by one of the authors, Sergio Rojas. The functionality of SciPy covered in the aforementioned book can be used as either a complement for a full course about scientific computing with Python or as an introduction to Scipy. Consequently, feel free to reuse and/or modify the content presented here for your own teaching needs, though proper acknowledgement of the source content will be highly appreciated. As we would like this reference material to be improved over time, we encourage you to contribute changes or corrections, which will be reviewed ,edited, and properly acknowledged by the maintainer of this site. |
The Following web links bring you to the nbviewer static (HTML) display corresponding to the respective IPython notebooks included with each chapter of the book (which you could download following each chapter link already shown above):
- Chapter 1. Introduction to SciPy
- Chapter 2. Working with Numpy Array as a first step to Scipy
- Chapter 3. SciPy for Linear Algebra
- Chapter 4. SciPy for Numerical Analysis_
- Chapter 5. SciPy for Signal Processing
- Chapter 6. SciPy for Data Mining
- Chapter 7. SciPy for Computational Geometry
- Chapter 8. Interaction with Other Languages
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