scipython.com
This website contains resources, articles and tutorials on using Python for science and engineering applications. It also hosts supplementary material for my books, Learning Scientific Programming with Python and Python for Chemists.
My website contains more information about me and a recent list of publications.
Book resources
Python for Chemists
The chapters for which resources are currently available are listed below. If you find any typos or other mistakes in the book, please email me and I will place corrections …
Examples, questions and problems →
Learning Scientific Programming with Python (2nd edition)
The second edition of Learning Scientific Programming with Python was published by Cambridge University Press in October 2020.
Examples, questions and problems →
Featured
The Kelvin wake pattern
The simulated wake pattern behind an object moving at constant speed across a surface of water, first described by Lord Kelvin.
Linear least squares fitting of a two-dimensional data
Least squares fitting of a two-dimensional polynomial to a surface.
A shallow neural network for simple nonlinear classification
Classification problems are a broad class of machine learning applications devoted to assigning input data to a predefined category based on its features. If the boundary between the categories has a linear relationship to the input data, a simple logistic regression algorithm may do a good job. For more complex groupings, such as in classifying the points in the diagram below, a neural network can often give good results.