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Numpy Beginner's Guide (Update)

You're reading from   Numpy Beginner's Guide (Update) Build efficient, high-speed programs using the high-performance NumPy mathematical library

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781785281969
Length 348 pages
Edition 1st Edition
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Table of Contents (16) Chapters Close

Preface 1. NumPy Quick Start 2. Beginning with NumPy Fundamentals FREE CHAPTER 3. Getting Familiar with Commonly Used Functions 4. Convenience Functions for Your Convenience 5. Working with Matrices and ufuncs 6. Moving Further with NumPy Modules 7. Peeking into Special Routines 8. Assuring Quality with Testing 9. Plotting with matplotlib 10. When NumPy Is Not Enough – SciPy and Beyond 11. Playing with Pygame A. Pop Quiz Answers B. Additional Online Resources C. NumPy Functions' References
Index

Simulation game with Pygame

As a last example, we will simulate life with Conway's Game of Life. The original game of life is based on a few basic rules. We start out with a random configuration on a two-dimensional square grid. Each cell in the grid can be either dead or alive. This state depends on the neighbors of the cell. You can read more about the rules at http://en.wikipedia.org/wiki/Conway%27s_Game_of_Life#Rules At each step in time, the following transitions occur:

  1. Live cells with less than two live neighbors die.
  2. Live cells with two or three live neighbors live on to the next generation.
  3. Live cells with more than three live neighbors die.
  4. Dead cells with exactly three live neighbors become a live cell.

Convolution can be used to evaluate the basic rules of the game. We need the SciPy package for the convolution process.

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