July 2018
Intermediate to advanced
596 pages
13h 35m
Japanese
Content preview from Pythonによるデータ分析入門 第2版 ―NumPy、pandasを使ったデータ処理
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30
2
章
Python
の基礎、
IPython
と
Jupyter Notebook
表2-2 よく使われるIPythonマジックコマンド
コマンド 説明
%quickref
IPython
のクイックリファレンスを表示。
%magic
全マジックコマンドの詳細記述を表示。
%debug
対話的デバッガの起動。直前に発生した例外に対して、トレースバックの最下層から
の開始。
%hist
コマンド入力の履歴を表示（オプション指定により出力履歴も表示）。
%pdb
例外発生時のデバッガ自動起動の切り替え（
ON
あるいは
OFF
）。
%paste
クリップボード内の整形済み
Python
コード片の実行。
%cpaste
クリップボード内
Python
コードの実行のための特別なプロンプトを表示。
%reset
名前空間から変数を含めた名前を除去。
%page OBJECT
ページャを起動し、引数
OBJECT
を整形して表示。
%run script.py
引数
script.py
を
Python
スクリプトとみなして
IPython
内で実行。
%prun statement cProfile
付きの命令を実行し、プロファイラ出力を表示。
%time statement
引数で与えられた命令の実行時間を計測。
%timeit statement
引数で与えられた命令の実行時間を複数回計測。実行時間のごく短い命令の計測に有
効。
%who
,
%who_ls
,
%whos
引数に型名、関数名などを取る。利用中の名前空間の中で定義された、その種類の
変数のリストを戻す。
3
種類の違い ...
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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.