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This document discusses Jupyter Notebooks and how to set up environments for using them. It provides an overview of Jupyter Notebooks, describing them as browser-based environments for interactive coding, visualizing results, and sharing code. It then discusses options for installing and running Jupyter Notebooks using Python, Docker, Vagrant, or natively on Linux.
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- 1. 即席！ データサイエンティスト？ Jupyter Notebookを使えばあなたもなれる Vagrant + Dockerで手軽にスタート 2016-07-22 JAGA#50 清水悟 (@shimitei)
- 2. Jupyter Notebook • http://jupyter.org/ • Browser-based REPL (れぷる) • Visualization ブラウザ上でコード書いて処理結果を視覚化
- 3. Jupyter Notebook • ちょろっとコードを書くだけで • グラフが出る • https://gist.github.com/chezou/38b46bdecf0de9e 06450
- 4. Python ライブラリが充実 • 数値計算：NumPy • 科学計算：SciPy • グラフプロット：matplotlib • データ処理：Pandas • 機械学習：sci-kit learn
- 5. REPL (Read-Eval-Print-Loop) • 読んで・評価して・表示して・を繰り返す ブラウザベースでコードの再編集、再実行がしやすい 結果も見やすく確認しやすい • 対話モード、インタラクティブシェル Rubyでのirb, Java 9 の新機能REPL • IPython kernels for other languages https://github.com/ipython/ipython/wiki/IPython-kernels-fo r-other-languages Python以外の言語も使えるよ
- 6. レポート書きにも • http://myenigma.hatenablog.com/entry/2016/02/20/183 423 • Latex（らてふ）記法で数式を書ける • 数式の計算も Mathmatica代わりに https://gist.github.com/chezou/af6756cf50bb08a1d6ad • さらに進化予定 次世代版JupyterLabのこれが凄い http://nonbiri-tereka.hatenablog.com/entry/2016/07/16/ 233703
- 7. 早速Jupyterをインストール Pythonインストールして Jupyter Notebook（IPython）のインストールと始め方 http://www.task-notes.com/entry/20151129/1448794509 ライブラリ足りない、Python 2.xが、3.xが... という人は次のページへ pip install jupyter
- 8. コマンドいっこいれる（Linux） • コマンドひとつ実行します 4.5GBくらいダウンロードを待ちます… http://localhost:8888/をブラウザで開くと使えます！ • Dockerをインストールしておきましょう。 • http://qiita.com/kshigeru/items/2cd504e927869163b4c8 • Linux Desktop以外はVagrant + Dockerが無難です。 docker run -d --name notebook -p 8888:8888 jupyter/datascience-notebook
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