bokomslag Think Complexity
Data & IT

Think Complexity

Allen Downey

Pocket

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  • 142 sidor
  • 2012

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

Youll 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
  • Författare: Allen Downey
  • Format: Pocket/Paperback
  • ISBN: 9781449314637
  • Språk: Engelska
  • Antal sidor: 142
  • Utgivningsdatum: 2012-03-20
  • Förlag: O'REILLY & ASSOCIATES