エンジニアのブログを見ていると、Jupyter notebookを使用しているケースがたびたび見受けられるので、今回インストールしてどんなものか試してみました。
自分で簡単なテストコードを書いて、動作確認してみたいといったときは、便利なツールだと思います。
特にデータ分析系で役に立ちそうです。
使い勝手は、UIも含めてなかなかよいです。
Jupyter notebookとは？
Webブラウザからファイルやディレクトリを操作できるwebアプリケーションです。
notenook形式のファイル(.ipynb)を操作し、実行結果を確認しながら、開発を進めることができます。
主にpythonのデータ分析系の開発者が使用している模様です。
以下のように、ブラウザからファイル操作できます。
上のRunボタンを押下するとPythonを実行して結果をみることもできます。
Jupyter notebookインストール方法
いつも通り、インストール方法を記載しておきます。
以下、環境情報です。
OS: CentOS7
python version: 3.8.3まず、最初に開発用のディレクトリ作成してます。あくまでこれはテスト用です。
$ mkdir python_env
$ cd python_env/
$ pwd
/home/vagrant/python_envvirtual envを作成する。
$ python -m venv jupyter_test
$ source jupyter_test/bin/activatevirtual envをactivateしたら、さっそくインストールしましょう。
$ pip install jupyter
Collecting jupyter
Downloading https://files.pythonhosted.org/packages/83/df/0f5dd132200728a86190397e1ea87cd76244e42d39ec5e88efd25b2abd7e/jupyter-1.0.0-py2.py3-none-any.whl
Collecting jupyter-console (from jupyter)
Downloading https://files.pythonhosted.org/packages/0a/89/742fa5a80b552ffcb6a8922712697c6e6828aee7b91ee4ae2b79f00f8401/jupyter_console-6.1.0-py2.py3-none-any.whl
Collecting nbconvert (from jupyter)
Downloading https://files.pythonhosted.org/packages/79/6c/05a569e9f703d18aacb89b7ad6075b404e8a4afde2c26b73ca77bb644b14/nbconvert-5.6.1-py2.py3-none-any.whl (455kB)
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Collecting qtconsole (from jupyter)
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Collecting ipywidgets (from jupyter)
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Collecting ipykernel (from jupyter)
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Collecting notebook (from jupyter)
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Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 (from jupyter-console->jupyter)
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Collecting ipython (from jupyter-console->jupyter)
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Collecting jupyter-client (from jupyter-console->jupyter)
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Collecting pygments (from jupyter-console->jupyter)
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Collecting bleach (from nbconvert->jupyter)
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Collecting jinja2>=2.4 (from nbconvert->jupyter)
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Collecting jupyter-core (from nbconvert->jupyter)
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Collecting mistune<2,>=0.8.1 (from nbconvert->jupyter)
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Collecting pandocfilters>=1.4.1 (from nbconvert->jupyter)
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Collecting defusedxml (from nbconvert->jupyter)
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Collecting traitlets>=4.2 (from nbconvert->jupyter)
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Collecting testpath (from nbconvert->jupyter)
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Collecting entrypoints>=0.2.2 (from nbconvert->jupyter)
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Collecting qtpy (from qtconsole->jupyter)
Downloading https://files.pythonhosted.org/packages/cd/fd/9972948f02e967b691cc0ca1f26124826a3b88cb38f412a8b7935b8c3c72/QtPy-1.9.0-py2.py3-none-any.whl (54kB)
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Collecting ipython-genutils (from qtconsole->jupyter)
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Collecting pyzmq>=17.1 (from qtconsole->jupyter)
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Collecting widgetsnbextension~=3.5.0 (from ipywidgets->jupyter)
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Collecting tornado>=4.2 (from ipykernel->jupyter)
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Collecting Send2Trash (from notebook->jupyter)
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Collecting terminado>=0.8.1 (from notebook->jupyter)
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Collecting prometheus-client (from notebook->jupyter)
Downloading https://files.pythonhosted.org/packages/3f/0e/554a265ffdc56e1494ef08e18f765b0cdec78797f510c58c45cf37abb4f4/prometheus_client-0.8.0-py2.py3-none-any.whl (53kB)
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Collecting wcwidth (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->jupyter-console->jupyter)
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Collecting jedi>=0.10 (from ipython->jupyter-console->jupyter)
Downloading https://files.pythonhosted.org/packages/07/83/7e711550fcb2722f1ca9c8564d5bb23f625ae67d99f4a360b428c0f3e932/jedi-0.17.1-py2.py3-none-any.whl (1.4MB)
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Collecting pickleshare (from ipython->jupyter-console->jupyter)
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Collecting decorator (from ipython->jupyter-console->jupyter)
Downloading https://files.pythonhosted.org/packages/ed/1b/72a1821152d07cf1d8b6fce298aeb06a7eb90f4d6d41acec9861e7cc6df0/decorator-4.4.2-py2.py3-none-any.whl
Requirement already satisfied: setuptools>=18.5 in ./jupyter_test/lib/python3.8/site-packages (from ipython->jupyter-console->jupyter) (41.2.0)
Collecting pexpect; sys_platform != "win32" (from ipython->jupyter-console->jupyter)
Downloading https://files.pythonhosted.org/packages/39/7b/88dbb785881c28a102619d46423cb853b46dbccc70d3ac362d99773a78ce/pexpect-4.8.0-py2.py3-none-any.whl (59kB)
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Collecting backcall (from ipython->jupyter-console->jupyter)
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Collecting python-dateutil>=2.1 (from jupyter-client->jupyter-console->jupyter)
Downloading https://files.pythonhosted.org/packages/d4/70/d60450c3dd48ef87586924207ae8907090de0b306af2bce5d134d78615cb/python_dateutil-2.8.1-py2.py3-none-any.whl (227kB)
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Collecting six>=1.9.0 (from bleach->nbconvert->jupyter)
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Collecting packaging (from bleach->nbconvert->jupyter)
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Collecting webencodings (from bleach->nbconvert->jupyter)
Downloading https://files.pythonhosted.org/packages/f4/24/2a3e3df732393fed8b3ebf2ec078f05546de641fe1b667ee316ec1dcf3b7/webencodings-0.5.1-py2.py3-none-any.whl
Collecting MarkupSafe>=0.23 (from jinja2>=2.4->nbconvert->jupyter)
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Collecting jsonschema!=2.5.0,>=2.4 (from nbformat>=4.4->nbconvert->jupyter)
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Collecting attrs>=17.4.0 (from jsonschema!=2.5.0,>=2.4->nbformat>=4.4->nbconvert->jupyter)
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Installing collected packages: wcwidth, prompt-toolkit, parso, jedi, pickleshare, decorator, six, ipython-genutils, traitlets, ptyprocess, pexpect, pygments, backcall, ipython, jupyter-core, pyzmq, tornado, python-dateutil, jupyter-client, ipykernel, jupyter-console, pyparsing, packaging, webencodings, bleach, MarkupSafe, jinja2, pyrsistent, attrs, jsonschema, nbformat, mistune, pandocfilters, defusedxml, testpath, entrypoints, nbconvert, qtpy, qtconsole, Send2Trash, terminado, prometheus-client, notebook, widgetsnbextension, ipywidgets, jupyter
Running setup.py install for tornado ... done
Running setup.py install for pyrsistent ... done
Running setup.py install for pandocfilters ... done
Successfully installed MarkupSafe-1.1.1 Send2Trash-1.5.0 attrs-19.3.0 backcall-0.2.0 bleach-3.1.5 decorator-4.4.2 defusedxml-0.6.0 entrypoints-0.3 ipykernel-5.3.2 ipython-7.16.1 ipython-genutils-0.2.0 ipywidgets-7.5.1 jedi-0.17.1 jinja2-2.11.2 jsonschema-3.2.0 jupyter-1.0.0 jupyter-client-6.1.5 jupyter-console-6.1.0 jupyter-core-4.6.3 mistune-0.8.4 nbconvert-5.6.1 nbformat-5.0.7 notebook-6.0.3 packaging-20.4 pandocfilters-1.4.2 parso-0.7.0 pexpect-4.8.0 pickleshare-0.7.5 prometheus-client-0.8.0 prompt-toolkit-3.0.5 ptyprocess-0.6.0 pygments-2.6.1 pyparsing-2.4.7 pyrsistent-0.16.0 python-dateutil-2.8.1 pyzmq-19.0.1 qtconsole-4.7.5 qtpy-1.9.0 six-1.15.0 terminado-0.8.3 testpath-0.4.4 tornado-6.0.4 traitlets-4.3.3 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1
WARNING: You are using pip version 19.2.3, however version 20.1.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.pipのupgradeのwarningが出たので、upgradeしておきます。
$ pip install --upgrade pip
Collecting pip
Downloading https://files.pythonhosted.org/packages/43/84/23ed6a1796480a6f1a2d38f2802901d078266bda38388954d01d3f2e821d/pip-20.1.1-py2.py3-none-any.whl (1.5MB)
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Installing collected packages: pip
Found existing installation: pip 19.2.3
Uninstalling pip-19.2.3:
Successfully uninstalled pip-19.2.3
Successfully installed pip-20.1.1あとは、開発したいディレクトリに移動し、そこでJupyter notebookを起動するだけです。
今回は、適当にpython_devというディレクトリを作成して、そのフォルダ上でファイル操作をしてみます。
$ mkdir python_dev
$ cd python_dev/
$ pwd
/home/vagrant/python_devJupyter notebookを起動する。今回は、Vagrantで起動したCentOS7にアクセスするので、CentOS7のローカルIPを付与して起動してます。
$ jupyter notebook --ip 192.168.XX.XX
[I 12:39:54.966 NotebookApp] Serving notebooks from local directory: /home/vagrant/python_dev
[I 12:39:54.966 NotebookApp] The Jupyter Notebook is running at:
[I 12:39:54.966 NotebookApp] http://192.168.XX.XX:8888/?token=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
[I 12:39:54.966 NotebookApp] or http://127.0.0.1:8888/?token=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
[I 12:39:54.966 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[W 12:39:54.978 NotebookApp] No web browser found: could not locate runnable browser.
[C 12:39:54.979 NotebookApp]
To access the notebook, open this file in a browser:
file:///home/vagrant/.local/share/jupyter/runtime/nbserver-XXXXX-open.html
Or copy and paste one of these URLs:
http://192.168.XX.XX:8888/?token=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
or http://127.0.0.1:8888/?token=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxHost OS上のブラウザから、
`http://192.168.XX.XX:8888/?token=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx`
にアクセスすればOKです。
Jupyter notebookをちょっと使ってみた感想
MathematicaやMatlabに、ちょっと近い印象をうけました。コードの動作を確認しながら開発を進められるのと、他の人にも結果を共有できるのがいいですね。
参考
Install and Use — Jupyter Documentation 4.1.1 alpha documentation
jupyter.readthedocs.io
