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Think Complexity

Complexity Science and Computational Modeling This link for educational purpose only. Please remove file from your computer after familiarization.

Expand your Python skills by working with data structures and algorithms in a refreshing context – through an eye-opening exploration of complexity science. Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations.

You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise.

Book year:

Book pages: 158

ISBN: 978-1-4493-1463-7

Book language: en

File size: 1.35 MB

File type: pdf

Published: 14 April 2019 - 15:10