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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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.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.
156
6 章 SciPy で行う線形代数
6.3
脳データのラプラシアン
この操作を、現実世界の事例に基づいて実演してみましょう。
3
章で紹介した
Varshney
らの論
文（
http://bit.ly/2s9unuL
）の図
2
のように、線虫の脳細胞の配置図を描いてみます（手法は、
論文の
supplementary material
（
http://bit.ly/2sdZLIK
）に解説されています）。線虫の脳の神経
細胞の配置を得るために、
Varshney
らはノードの次数によって正規化したラプラシアン行列とい
う、関連した行列を用いました。
この解析では神経細胞の順番が重要なため、本章をデータクリーニングの話で難解にしないよ
うに、処理済みのデータセットを使います。元データは
Lav Varshney
のウェブサイト（
http://
www.ifp.illinois.edu/~varshney/elegans
）から入手し、処理済みデータは本書の
data/
ディレク
トリに置いてあります。
まずは、データを読み込みましょう。データは以下の
4
つの構成部分からなります。
•
化学シナプスのネットワーク。これを通して、シナプス前細胞が化学信号をシナプス後細胞に
送る。
•
ギャップ結合ネットワーク。神経細胞間の直接的な電気接触で形成される。
•
神経細胞の
ID
（名前）
• 3
種類の神経細胞。
〇 感覚神経細胞。外部世界から来る信号を検知する。
0
に符号化。
〇 運動神経細胞。筋肉を活性化して線虫が動くことを可能にする。
2
に符号化。 ...
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and much more.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.