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An introduction to algorithms and data structures in Python, including graphs and arrays, and complexity science, which includes small world graphs, scale-free networks, cellular automata, self-organized criticality, fractals, and agent-based models.
Think Stats: Probability and Statistics for Programmers
If you have basic skills in Python, you can use them to learn concepts in probability and statistics. This new book emphasizes simple techniques you can use to explore real data sets and answer interesting statistical questions.
How to Think Like a Computer Scientist
Python for Software Design: How To Think Like a Computer ScientistThink Python: How To Think Like a Computer Scientist
How To Think Like a Computer Scientist: Learning with Python
Think Java: How To Think Like a Computer Scientist
How To Think Like a Computer Scientist: C++ Version
Also from Green Tea Press
The Little Book of SemaphoresPhysical Modeling in MATLAB
Complexity and Computation
Learning Perl the Hard Way
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