David Kopec

I really liked Classic Computer Science Problems in Python. It covers many interesting algorithms, several of which I had not read about before. My favorites in the book were neural networks, constraint-satisfaction problems, genetic algorithms, and the minimax algorithm.

For most of the algorithms, the author develops a framework solution, and then uses it to solve a few different problems of the same kind. The solutions are complete but small programs that you can download from GitHub. They are well suited for exploring the solutions in more detail. For example, I used the neural network program to see how the neuron weights varied between different runs.

I found this to be one of the better algorithm books that I have read. I have written a more detailed review on my blog at:
https://henrikwarne.com/2019/10/27/classic-computer-science-problems-in-python/… (plus d'informations)