This book is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science.
This book presents features that make Python such a simple and powerful language. The author provides code to help you get started, along with a solution for each exercise. With this book, you will:
Work with graphs and graph algorithms, NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tables.
Discover complexity science, the field that studies abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines.
Explore the philosophy of science through the models and results in this book about the nature of scientific laws, theory choice, and realism and instrumentalism, and more.
This book presents features that make Python such a simple and powerful language. The author provides code to help you get started, along with a solution for each exercise. With this book, you will:
Work with graphs and graph algorithms, NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tables.
Discover complexity science, the field that studies abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines.
Explore the philosophy of science through the models and results in this book about the nature of scientific laws, theory choice, and realism and instrumentalism, and more.
Title Think Complexity: Complexity Science and Computational Modeling
Author(s) Allen Downey
Publisher: O'Reilly Media (March 14, 2012)
Paperback 154 pages
Language: English
ISBN-10: 1449314635
ISBN-13: 978-1449314637
eBook: http://greenteapress.com/complexity/index.html
Author(s) Allen Downey
Publisher: O'Reilly Media (March 14, 2012)
Paperback 154 pages
Language: English
ISBN-10: 1449314635
ISBN-13: 978-1449314637
eBook: http://greenteapress.com/complexity/index.html
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