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Game of Life

Conway's Game of Life is a cellular automaton whose grid cells change state across discrete generations according to local neighborhood rules.

How 2 Manning books explain it

Fast Python: High performance techniques for large datasets

How it is used
Uses Game of Life as a concrete workload for optimizing neighborhood access and array processing.
How deep it goes
Descends from transition rules to Cython array access, multithreading, timing, and scaling, but stops short of formal complexity theory.
Examples
Uses oscillating dashes, stable boxes, dying patterns, QuadLife colors, and spaceship videos across several resolutions.
What you can do after
Build it from scratch as a Python-driven Cython and NumPy simulation, then optimize neighborhood access with low-level parallelism.

Read how Fast Python: High performance techniques for large datasets explains Game of Life →

Fabulous Adventures in Data Structures and Algorithms

Life is Conway's Game of Life, a two-dimensional cellular automaton whose cell states evolve according to neighboring-cell rules.

How it is used
Frames Life as a recreational programming problem and a test case for alternative algorithms and compact data structures.
How deep it goes
Defines local transition rules and surveys pattern behavior, then stops before implementing the beginner or HashLife algorithms.
Examples
Uses death from loneliness, still lifes, the blinker, the glider, guns, and digital-circuit patterns as concrete examples.
What you can do after
Evaluate Life generations by applying neighbor-count rules and recognizing still, oscillating, and moving patterns.

Read how Fabulous Adventures in Data Structures and Algorithms explains Game of Life →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.