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

Dive into Python's advanced possibilities, including algorithm analysis, graphs, scale-free networks, and cellular automata with this in-depth, hands-on guide.

The underlying idea and motive for the book is that the notion of complexity may humanize the social sciences, may conceive the complex human being as more human, and turn reality as assumed in our doing social science into a more complex, that is a richer reality for all. The main focus of this book is on new thinking in complexity, with complexity to be taken as derived from the Latin word complexus: ‘that which is interwoven.’ The trans-disciplinary approach advocated here will be trans-disciplinary in two ways: firstly, by going beyond the separate disciplines within the fields of both natural sciences and social sciences, and, secondly, by going beyond the separate cultures of the natural sciences and of the social sciences and humanities.

The secrets to Apple's success and how to use them, from the Apple insider Ken Segall In Think Simple, Apple insider and New York Times bestselling author Ken Segall gives you the tools to Apple's success - and shows you how to use them. It's all about simplicity. Whether you're in a multinational corporation or a lean startup, this guide will teach you how to crush complexity and focus on what matters; how to perform better, faster and more efficiently. Combining his insight from Apple with examples from companies across industries all over the world - including Ben & Jerry's, Whole Foods, Intel and HyundaiCard - Segall provides a simple roadmap for any company to find success.

Stafford Beer was one of the foremost holistic thinkers of the second half twentieth century. He pioneered the use of cybernetics and systems theory to increase our awareness and understanding of how complex systems learn, adapt and evolve - or fail. The editor has selected pieces that exhibit Beer's major ideas for the transformation of self and society - they have a timeless relevance for a world in permanent distress.

This book is about dealing with messes. Sometimes known as 'wicked problems', messes (or messy situations) are fairly easy to spot:it's hard to know where to startwe can't define them everything seems to connect to everything else and depends on something else having been done first we get in a muddle thinking about them we often try to ignore some aspect/s of themwhen we finally do something about them, they usually get worse they're so entangled that our first mistake is usually to try and fix them as we would fix a simple problem.

Currently used at many colleges, universities, and high schools, this hands-on introduction to computer science is ideal for people with little or no programming experience. The goal of this concise book is not just to teach you Java, but to help you think like a computer scientist. You’ll learn how to program—a useful skill by itself—but you’ll also discover how to use programming as a means to an end. Authors Allen Downey and Chris Mayfield start with the most basic concepts and gradually move into topics that are more complex, such as recursion and object-oriented programming. Each brief chapter covers the material for one week of a college course and includes exercises to help you practice what you’ve learned. Learn one concept at a time: tackle complex topics in a series of small steps with examples Understand how to formulate problems, think creatively about solutions, and write programs clearly and accurately Determine which development techniques work best for you, and practice the important skill of debugging Learn relationships among input and output, decisions and loops, classes and methods, strings and arrays Work on exercises involving word games, graphics, puzzles, and playing cards

Is another world war inevitable? The answer is a resounding “yes” if we continue to think in terms of “either/or” outcomes. Adversaries think in such terms, you either get what you want, or you do not. Can a different way of thinking produce a different outcome? This book shows that the consistency demanded by the linear, logical either/or thinking is disrupted by paradox, whose resolution forces a consequent decision: war or peace, with no middle ground. If this were the only way of thinking then a person would be either a protagonist or an antagonist, but a person can be both, either, or neither; this opens the door to novel solutions. This is “both/and” thinking, which the book shows can be achieved by a dynamic resolution of paradox. Thus, a basically selfish individual can also be a hero; a consequence of the complexity of being human.

If you understand basic mathematics and know how to program with Python, you’re ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they’re applied in the real world. In the first chapter alone, you’ll be able to decompose a sound into its harmonics, modify the harmonics, and generate new sounds. Author Allen Downey explains techniques such as spectral decomposition, filtering, convolution, and the Fast Fourier Transform. This book also provides exercises and code examples to help you understand the material. You’ll explore: Periodic signals and their spectrums Harmonic structure of simple waveforms Chirps and other sounds whose spectrum changes over time Noise signals and natural sources of noise The autocorrelation function for estimating pitch The discrete cosine transform (DCT) for compression The Fast Fourier Transform for spectral analysis Relating operations in time to filters in the frequency domain Linear time-invariant (LTI) system theory Amplitude modulation (AM) used in radio Other books in this series include Think Stats and Think Bayes, also by Allen Downey.

Simple behaviours that unclutter your mind and help you realise your true potential Awaken your passion and tap into your inner greatness as you remove the metaphorical clutter from your life with Simple Thinking. You'll learn how to expand your mind and understand your true potential through the power of thinking simply, while stripping back the jargon and digging to the core of any obstacle in your way. Let's be honest, life is full of unnecessary complexity and it's left most of us confused, angry and disenfranchised. This book will help you to remove the baggage, cut through the clutter and begin your smooth path to success. Learn how to: Live and act with resiliency, authenticity and passion Learn to trust your instincts again and see the world through new eyes Recalibrate your thoughts, behaviours and actions Declutter your mind, streamline your day and be successful at life Simple wisdom, simply shared, is personal development unplugged – and when you begin peeling back the layers to expose the heart of the problem, you become well-equipped to devise a simpler, yet more effective solution. Simple Thinking will help you in achieving this state of clarity and confidence.