November 2018
Intermediate to advanced
272 pages
6h 51m
Japanese
book
エレガントなSciPy ―Pythonによる科学技術計算
by Juan Nunez-Iglesias, Stéfan van der Walt, Harriet Dashnow, 山崎 邦子, 山崎 康宏
Content preview from エレガントなSciPy ―Pythonによる科学技術計算
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65
3.4 汎用フィルタ：近傍データの任意の関数
3.4.1
演習：
Conway
のライフゲーム
（
Nicolas Rougier
の発案による）
Conway
のライフゲーム（
https://ja.wikipedia.org/wiki/
ライフゲーム）の概念は、規則的な格
子上の「セル」が、隣接する環境によって生まれたり死んだりするという、一見単純なものです。
毎時間ステップの位置
(i, j )
の状態が、前時間ステップの状態と、
8
つの近傍のセル（上下左右と
斜め）の状態によって決まります。
•
生きたセルは、隣接する生きたセルが
1
つ以下なら、死ぬ。
•
生きたセルは、隣接する生きたセルが
2
つか
3
つなら、次世代も生存する。
•
生きたセルは、隣接する生きたセルが
4
つ以上なら、過密により死ぬ。
•
死んだセルは、隣接する生きたセルがちょうど
3
つなら、次世代が誕生したかのように生き
返る。
このルールは、無理やり作った数学の問題のようですが、実は驚くほどいろいろなパターンが生
じます。例えば、グライダー（生きたセルの小さなパターンで、各世代ごとにゆっくり移動する）
や、グライダー銃（定常パターンで、グライダーを打ち出す）を手始めに、素数生成マシン（例え
ば
Nathaniel Johnston
の「
Generating Sequences of Primes in Conway's Game of Life
」（
http://
bit.ly/2s8UfqF
））や、ライフゲーム自体のシミュレーション（
https://youtu.be/xP5-iIeKXE8 ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.