Scientific Computation: Python 3 Hacking for Math Junkies (Fourth Edition)

This is a book about hacking, but not just any kind of hacking. It is about mathematical hacking. If you like math and want to use computers to solve mathematical problems, this is the book is for you.

Scientific Computation: Python 3 Hacking for Math Junkies gives an introduction to hacking in Python for students and mathematical scientists. A complete introduction to the language is given.

The new 4th edition covers Pytthon 3.X. The 3rd edition (also included at no additional charge) covers Python 2.7. Jupyter notebooks for all chapters are available from the companion github website. 

Computational applications are selected from many mathematical sub-disciplines and include: random numbers, statistics, roots, interpolation, linear regression, logistic regression, initial value problems, discrete systems, fractals, principal component analysis, the singular value decomposition, clustering, image analysis, and satellite orbits.

Over 300 exercises and projects are included for students.

This is a color PDF of the printed book without DRM.

You may print and copy this book without restriction for your own use  so long as you follow the copyright law.

Target audience: undergraduate math and science students entering their upper level curriculum. Calculus and some linear algebra background is helpful; a review of linear algebra is included as an appendix. No prior programming experience is expected