June 2024
Intermediate to advanced
200 pages
4h 46m
Japanese
Content preview from Python2年生 データ分析のしくみ 第2版 体験してわかる！会話でまなべる！
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Chapter
1
20
03
LESSON
データ分析は、Google Colab Notebook や、Jupyter Notebook を使う
と、少しずつ試しながら実行できるので便利です。その準備をしましょう。
Notebook
の
準備をしよう
ハカセっ。
Python
でデータ分析をするときは、どんな準備が必要なの？
ノートブック？
おもしろそう。使ってみたいなあ。
そんなのがあるの！
Python
の環境には、
IDLE
や
VisualStudioCode
などがあるけど、
データ分析には、
Notebook
方式の環境が適しているよ。
Jupyter
Notebook
（ジュピターノートブック）や
Google
の
Colab
Notebook
（コラボノートブック）などがある。
データ分析の長いプログラムを「少しずつ書いて少しずつ実行してい
く環境」なんだ。
1
枚のページでできていて、プログラムを少し書いて
実行すると、そのプログラムの下に実行結果が表示される。さらにそ
の下に続きのプログラムを書いていく。このように少しずつ試して考
えながら進めることができるので、データ分析に適した環境なんだ。
Jupyter Notebook
は、パソコンにインストールすれば使 え
るよ。でもインストールせずにすぐ使 いたいなら、
Google
Colaboratory
（コラボラトリー）の
Colab Notebook
があるよ。
Google
のアカウントがあれば、すぐに使えるんだ。
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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.