Chapter 15: Vectorized Spatial Models with NumPy¶

Part III — Discrete Spatial Modeling

Learning Objectives¶

By the end of this chapter you will be able to:

• Implement Game of Life with full NumPy vectorization
• Use shift operations and boolean masks instead of loops
• Measure the speedup over the naive implementation

{note}
End of chapter: the reader now has both pieces (salabim + NumPy). Ch 16 shows how DisSModel combines them cleanly.

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# Standard imports — add chapter-specific imports below
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

# Standard imports — add chapter-specific imports below import numpy as np import pandas as pd import matplotlib.pyplot as plt

Shift Operations on 2D Arrays¶

TODO: write content.

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# Code for section: Shift Operations on 2D Arrays

# Code for section: Shift Operations on 2D Arrays

Boolean Masks as Neighborhood Queries¶

TODO: write content.

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# Code for section: Boolean Masks as Neighborhood Queries

# Code for section: Boolean Masks as Neighborhood Queries

Game of Life: Vectorized Rule¶

TODO: write content.

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# Code for section: Game of Life: Vectorized Rule

# Code for section: Game of Life: Vectorized Rule

Benchmarking: Loop vs NumPy vs salabim+NumPy¶

TODO: write content.

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# Code for section: Benchmarking: Loop vs NumPy vs salabim+NumPy

# Code for section: Benchmarking: Loop vs NumPy vs salabim+NumPy

Combining salabim and NumPy¶

TODO: write content.

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# Code for section: Combining salabim and NumPy

# Code for section: Combining salabim and NumPy

Summary¶

TODO: summarise key takeaways.

Key concepts introduced¶

• TODO
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• TODO

Further Reading¶

• TODO: add references.