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Numpy Beginner's Guide (Update)

Numpy Beginner's Guide (Update)

By : Ivan Idris
2 (1)
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Numpy Beginner's Guide (Update)

Numpy Beginner's Guide (Update)

2 (1)
By: Ivan Idris

Overview of this book

This book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources.
Table of Contents (16 chapters)
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14
C. NumPy Functions' References
15
Index

Time for Action – simulating life

The following code is an implementation of the Game of Life, with some modifications:

  • Clicking once with the mouse draws a cross until we click again
  • The r key resets the grid to a random state
  • Pressing b creates blocks based on the mouse position
  • g creates gliders

The most important data structure in the code is a two-dimensional array, holding the color values of the pixels on the game screen. This array is initialized with random values and then recalculated for each iteration of the game loop. Find more information about the involved functions in the next section.

  1. To evaluate the rules, use the convolution as follows:
    def get_pixar(arr, weights):
      states = ndimage.convolve(arr, weights, mode='wrap')
    
      bools = (states == 13) | (states == 12 ) | (states == 3)
    
      return bools.astype(int)
  2. Draw a cross using the basic indexing tricks that we learned in Chapter 2, Beginning with NumPy Fundamentals:
    def draw_cross(pixar):
       (posx, posy) = pygame...

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