November 2015
Intermediate to advanced
360 pages
6h 16m
Japanese
Content preview from ハイパフォーマンスPython
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付録Aサンプルプログラムについて
相川 愛三
本付録は日本語版オリジナルの記事です。原書サイトのプログラムを入手して実行するためのヒントを示します。
A.1 ソースコードの入手
原著者のGitHub（https://github.com/mynameisfiber/high_performance_python）からダウンロードします。
gitでクローンを作るか、図A-1のようにブラウザでアクセスして右下のDownload ZIPボタンをクリックしてダウンロードします。
図A-1 GitHubからサンプルプログラムをダウンロード
A.2 サンプルプログラムの実行
Makefileが用意されている場合は、makeで性能測定することができます。
$ cd 06_matrix/diffusion_2d $ make
Makefileのターゲットには次のものがあります。
- perf
- perfを使ってCPUのキャッシュ効率等を測定します。
- time
timeコマンドで実行時間を測定します。- memit
memory_profilerを使ってメモリ使用効率を測定します。- kernprof
line_profilerのkernprof.pyを用いて行単位のプロファイリングをします。
Makefileが用意されていないものは、pythonを直接実行します。
$ cd 01_profiling/cpu_profiling $ python julia1.py
サンプルプログラムはPython ...
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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.