This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,350grams, ISBN:9781449314637.

Bestandsnummer des Verk�ufers 5960028

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Bibliografische Details

Titel

Think Complexity

Verlag

O'reilly Uk Ltd.

Erscheinungsjahr

2012

Sprache

Englisch

ISBN-10

1449314635

ISBN-13

9781449314637

Einband

Softcover

Zustand

Good

Verk�uferkataloge

Education

�ber diesen Titel

Inhaltsangabe

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.

Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tables
Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines
Get starter code and solutions to help you re-implement and extend original experiments in complexity
Explore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topics
Examine case studies of complex systems submitted by students and readers

�ber die Autorin bzw. den Autor

Allen Downey is an Associate Professor of Computer Science at the Olin College of Engineering. He has taught computer science at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master's and Bachelor's degrees from MIT.

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