ipython notebook [jupyter] 使用

jupyter笔记本是一个Web应用程序，允许你创建和共享代码，方程，可视化和说明性文本文档。用途包括：数据清洗和转换，数值模拟，统计建模，机器学习等。

一、安装jupyter

2、安装过程

注：我刚开始安装的时候，怕被坑了，找了N多文档，结果都就在安装过程中出现各种问题，有解决依赖，无法保存的，无法补全的，不能用别名的。。。我以为这样就可以搞了，but 我竟然成功了，安装过程在一片祥和的氛围下最络达成。

提示：安装前安装开发包组Development tools,升级系统python版本，官方要求python2.6或3.2，但是jupyter 要Python 2.7 or >= 3.3,ipython当然是最新版本的，剩下的就是安装了，一条命令搞定

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<code>yum instal -y python-pip </code><code>#如果没有pip的话</code>

<code>#pip install virtualenv -y</code>

<code>[root@localhost python_object]</code><code># virtualenv --no-site-package ipython_notebook</code>

<code>New python executable </code><code>in</code> <code>ipython_notebook</code><code>/bin/python</code>

<code>Installing setuptools, pip, wheel...</code><code>done</code><code>.</code>

<code>[root@localhost python_object]</code><code># ls</code>

<code>Exect_number.py firstfork.py ipython_notebook Prodicer.py virtual_DJ</code>

<code>[root@localhost python_object]</code><code># source ipython_notebook/bin/activate</code>

<code>(ipython_notebook)[root@localhost python_object]</code><code># </code>

<code>(ipython_notebook)[root@localhost python_object]</code><code># pip install jupyter</code>

<code>Collecting jupyter</code>

<code>/workspace/python_object/ipython_notebook/lib/python2</code><code>.7</code><code>/site-packages/pip/_vendor/requests/packages/urllib3/util/ssl_</code><code>.py:90: InsecurePlatformWarning: A </code><code>true</code> <code>SSLContext object is not available. This prevents urllib3 from configuring SSL appropriately and may cause certain SSL connections to fail. For </code><code>more</code> <code>information, see https:</code><code>//urllib3</code><code>.readthedocs.org</code><code>/en/latest/security</code><code>.html</code><code>#insecureplatformwarning.</code>

<code> </code><code>InsecurePlatformWarning</code>

<code> </code><code>Downloading jupyter-1.0.0-py2.py3-none-any.whl</code>

<code>Collecting notebook (from jupyter)</code>

<code> </code><code>Downloading notebook-4.0.6-py2.py3-none-any.whl (5.6MB)</code>

<code>Collecting ipywidgets (from jupyter)</code>

<code> </code><code>Downloading ipywidgets-4.1.1-py2.py3-none-any.whl (117kB)</code>

<code>Collecting nbconvert (from jupyter)</code>

<code> </code><code>Downloading nbconvert-4.1.0-py2.py3-none-any.whl (281kB)</code>

<code>Collecting ipykernel (from jupyter)</code>

<code> </code><code>Downloading ipykernel-4.1.1-py2.py3-none-any.whl (90kB)</code>

<code>Collecting jupyter-console (from jupyter)</code>

<code> </code><code>Downloading jupyter_console-4.0.3-py2.py3-none-any.whl</code>

<code>Collecting qtconsole (from jupyter)</code>

<code> </code><code>Downloading qtconsole-4.1.0-py2.py3-none-any.whl (98kB)</code>

<code>Collecting traitlets (from notebook->jupyter)</code>

<code> </code><code>Using cached traitlets-4.0.0-py2.py3-none-any.whl</code>

<code>Collecting tornado>=4 (from notebook->jupyter)</code>

<code> </code><code>Downloading tornado-4.3.</code><code>tar</code><code>.gz (450kB)</code>

<code>Collecting jupyter-client (from notebook->jupyter)</code>

<code> </code><code>Downloading jupyter_client-4.1.1-py2.py3-none-any.whl (70kB)</code>

<code>Collecting nbformat (from notebook->jupyter)</code>

<code> </code><code>Downloading nbformat-4.0.1-py2.py3-none-any.whl (138kB)</code>

<code>Collecting jupyter-core (from notebook->jupyter)</code>

<code> </code><code>Downloading jupyter_core-4.0.6-py2.py3-none-any.whl (74kB)</code>

<code>Collecting jinja2 (from notebook->jupyter)</code>

<code> </code><code>Downloading Jinja2-2.8-py2.py3-none-any.whl (263kB)</code>

<code>Collecting terminado>=0.3.3 (from notebook->jupyter)</code>

<code> </code><code>Downloading terminado-0.5.</code><code>tar</code><code>.gz</code>

<code>Collecting ipython-genutils (from notebook->jupyter)</code>

<code> </code><code>Using cached ipython_genutils-0.1.0-py2.py3-none-any.whl</code>

<code>Collecting ipython>=4.0.0dev0 (from ipywidgets->jupyter)</code>

<code> </code><code>Using cached ipython-4.0.0-py2-none-any.whl</code>

<code>Collecting pygments (from nbconvert->jupyter)</code>

<code> </code><code>Downloading Pygments-2.0.2-py2-none-any.whl (672kB)</code>

<code>Collecting mistune!=0.6 (from nbconvert->jupyter)</code>

<code> </code><code>Downloading mistune-0.7.1-py2.py3-none-any.whl</code>

<code>Collecting decorator (from traitlets->notebook->jupyter)</code>

<code> </code><code>Downloading decorator-4.0.4-py2.py3-none-any.whl</code>

<code>Collecting backports.ssl-match-</code><code>hostname</code> <code>(from tornado>=4->notebook->jupyter)</code>

<code> </code><code>Downloading backports.ssl_match_hostname-3.4.0.2.</code><code>tar</code><code>.gz</code>

<code>Collecting singledispatch (from tornado>=4->notebook->jupyter)</code>

<code> </code><code>Downloading singledispatch-3.4.0.3-py2.py3-none-any.whl</code>

<code>Collecting certifi (from tornado>=4->notebook->jupyter)</code>

<code> </code><code>Downloading certifi-2015.9.6.2-py2.py3-none-any.whl (371kB)</code>

<code>Collecting backports-abc>=0.4 (from tornado>=4->notebook->jupyter)</code>

<code> </code><code>Downloading backports_abc-0.4-py2.py3-none-any.whl</code>

<code>Collecting pyzmq>=13 (from jupyter-client->notebook->jupyter)</code>

<code> </code><code>Downloading pyzmq-15.0.0.</code><code>tar</code><code>.gz (1.1MB)</code>

<code>Collecting jsonschema!=2.5.0,>=2.0 (from nbformat->notebook->jupyter)</code>

<code> </code><code>Downloading jsonschema-2.5.1-py2.py3-none-any.whl</code>

<code>Collecting MarkupSafe (from jinja2->notebook->jupyter)</code>

<code> </code><code>Downloading MarkupSafe-0.23.</code><code>tar</code><code>.gz</code>

<code>Collecting ptyprocess (from terminado>=0.3.3->notebook->jupyter)</code>

<code> </code><code>Using cached ptyprocess-0.5.</code><code>tar</code><code>.gz</code>

<code>Collecting simplegeneric>0.8 (from ipython>=4.0.0dev0->ipywidgets->jupyter)</code>

<code> </code><code>Using cached simplegeneric-0.8.1.zip</code>

<code>Collecting pexpect (from ipython>=4.0.0dev0->ipywidgets->jupyter)</code>

<code> </code><code>Using cached pexpect-4.0.1.</code><code>tar</code><code>.gz</code>

<code>Collecting pickleshare (from ipython>=4.0.0dev0->ipywidgets->jupyter)</code>

<code> </code><code>Using cached pickleshare-0.5.</code><code>tar</code><code>.gz</code>

<code>Collecting six (from singledispatch->tornado>=4->notebook->jupyter)</code>

<code> </code><code>Using cached six-1.10.0-py2.py3-none-any.whl</code>

<code>Collecting functools32 (from jsonschema!=2.5.0,>=2.0->nbformat->notebook->jupyter)</code>

<code> </code><code>Downloading functools32-3.2.3-2.</code><code>tar</code><code>.gz</code>

<code>Collecting path.py (from pickleshare->ipython>=4.0.0dev0->ipywidgets->jupyter)</code>

<code> </code><code>Using cached path.py-8.1.2-py2.py3-none-any.whl</code>

<code>Building wheels </code><code>for</code> <code>collected packages: tornado, terminado, backports.ssl-match-</code><code>hostname</code><code>, pyzmq, MarkupSafe, ptyprocess, simplegeneric, pexpect, pickleshare, functools32</code>

<code> </code><code>Running setup.py bdist_wheel </code><code>for</code> <code>tornado</code>

<code> </code><code>Stored </code><code>in</code> <code>directory: </code><code>/root/</code><code>.cache</code><code>/pip/wheels/2d/e6/19/1a61a89abb78cc3e1761a5844eaa1fdc86fd41b38353df5967</code>

<code> </code><code>Running setup.py bdist_wheel </code><code>for</code> <code>terminado</code>

<code> </code><code>Stored </code><code>in</code> <code>directory: </code><code>/root/</code><code>.cache</code><code>/pip/wheels/f9/7c/62/fe686f920ed9fbc013e631a5415ec3162602b31e762595e3fe</code>

<code> </code><code>Running setup.py bdist_wheel </code><code>for</code> <code>backports.ssl-match-</code><code>hostname</code>

<code> </code><code>Stored </code><code>in</code> <code>directory: </code><code>/root/</code><code>.cache</code><code>/pip/wheels/81/3d/36/f3c726a42caed585046d710e0e450bda1075c61c1c43443831</code>

<code> </code><code>Running setup.py bdist_wheel </code><code>for</code> <code>pyzmq</code>

<code> </code><code>Stored </code><code>in</code> <code>directory: </code><code>/root/</code><code>.cache</code><code>/pip/wheels/3a/7a/27/93f017cb86670a08e6114a95c05885bb4dda1f81830ff4306c</code>

<code> </code><code>Running setup.py bdist_wheel </code><code>for</code> <code>MarkupSafe</code>

<code> </code><code>Stored </code><code>in</code> <code>directory: </code><code>/root/</code><code>.cache</code><code>/pip/wheels/94/a7/79/f79a998b64c1281cb99fa9bbd33cfc9b8b5775f438218d17a7</code>

<code> </code><code>Running setup.py bdist_wheel </code><code>for</code> <code>ptyprocess</code>

<code> </code><code>Stored </code><code>in</code> <code>directory: </code><code>/root/</code><code>.cache</code><code>/pip/wheels/8f/0b/d5/45ebc79539db587c173a63b42572328136bdb098210767fb80</code>

<code> </code><code>Running setup.py bdist_wheel </code><code>for</code> <code>simplegeneric</code>

<code> </code><code>Stored </code><code>in</code> <code>directory: </code><code>/root/</code><code>.cache</code><code>/pip/wheels/51/3c/13/2b621669f3ba74b01380aefcc0af0f643bb42360e7248496ed</code>

<code> </code><code>Running setup.py bdist_wheel </code><code>for</code> <code>pexpect</code>

<code> </code><code>Stored </code><code>in</code> <code>directory: </code><code>/root/</code><code>.cache</code><code>/pip/wheels/ea/5b/53/4b65a279e1390ae81febe74f660ce01ef4655c9c1ec9acd9bf</code>

<code> </code><code>Running setup.py bdist_wheel </code><code>for</code> <code>pickleshare</code>

<code> </code><code>Stored </code><code>in</code> <code>directory: </code><code>/root/</code><code>.cache</code><code>/pip/wheels/99/3e/8b/7d87bf47f2c2d437fcb9a913cd5c4b393b7132c508633e3eef</code>

<code> </code><code>Running setup.py bdist_wheel </code><code>for</code> <code>functools32</code>

<code> </code><code>Stored </code><code>in</code> <code>directory: </code><code>/root/</code><code>.cache</code><code>/pip/wheels/38/c6/c7/ee17acd621120c302e25c2fa8b3a8b235d5d1137c6ab4c9728</code>

<code>Successfully built tornado terminado backports.ssl-match-</code><code>hostname</code> <code>pyzmq MarkupSafe ptyprocess simplegeneric pexpect pickleshare functools32</code>

<code>Installing collected packages: decorator, ipython-genutils, traitlets, backports.ssl-match-</code><code>hostname</code><code>, six, singledispatch, certifi, backports-abc, tornado, jupyter-core, pyzmq, jupyter-client, functools32, jsonschema, nbformat, MarkupSafe, jinja2, simplegeneric, ptyprocess, pexpect, path.py, pickleshare, ipython, ipykernel, terminado, pygments, mistune, nbconvert, notebook, ipywidgets, jupyter-console, qtconsole, jupyter</code>

<code>Successfully installed MarkupSafe-0.23 backports-abc-0.4 backports.ssl-match-</code><code>hostname</code><code>-3.4.0.2 certifi-2015.9.6.2 decorator-4.0.4 functools32-3.2.3.post2 ipykernel-4.1.1 ipython-4.0.0 ipython-genutils-0.1.0 ipywidgets-4.1.1 jinja2-2.8 jsonschema-2.5.1 jupyter-1.0.0 jupyter-client-4.1.1 jupyter-console-4.0.3 jupyter-core-4.0.6 mistune-0.7.1 nbconvert-4.1.0 nbformat-4.0.1 notebook-4.0.6 path.py-8.1.2 pexpect-4.0.1 pickleshare-0.5 ptyprocess-0.5 pygments-2.0.2 pyzmq-15.0.0 qtconsole-4.1.0 simplegeneric-0.8.1 singledispatch-3.4.0.3 six-1.10.0 terminado-0.5 tornado-4.3 traitlets-4.0.0</code>

到此jupyter己经安装完成了，看到这么多的依赖，我对那些一步步排错手并安装成功，只能说我不如他们!

二、jupyter的使用

1、jupyter 帮助

<code>(ipython_notebook)[root@localhost python_object]</code><code># jupyter -h</code>

<code>usage: jupyter [-h] [--version] [--config-</code><code>dir</code><code>] [--data-</code><code>dir</code><code>] [--runtime-</code><code>dir</code><code>]</code>

<code> </code><code>[--paths] [--json]</code>

<code> </code><code>[subcommand]</code>

<code>Jupyter: Interactive Computing</code>

<code>positional arguments:</code>

<code> </code><code>subcommand the subcommand to launch</code>

<code>optional arguments:</code>

<code> </code><code>-h, --help show this help message and </code><code>exit</code>

<code> </code><code>--version show the jupyter </code><code>command</code><code>'s version and </code><code>exit</code>

<code> </code><code>--config-</code><code>dir</code> <code>show Jupyter config </code><code>dir</code>

<code> </code><code>--data-</code><code>dir</code> <code>show Jupyter data </code><code>dir</code>

<code> </code><code>--runtime-</code><code>dir</code> <code>show Jupyter runtime </code><code>dir</code>

<code> </code><code>--paths show all Jupyter paths. Add --json </code><code>for</code> <code>machine-readable</code>

<code> </code><code>format</code><code>.</code>

<code> </code><code>--json output paths as machine-readable json</code>

<code>Available subcommands: console kernelspec migrate nbconvert nbextension</code>

<code>notebook qtconsole trust</code>

2、启动jupyter notebook

启动jupyter notebook后默认监听于本地8888，如果想外部访问也很简单

<code>jupyter notebook --ip=x.x.x.x</code>

这样就可从web界面访问了

3、jupyter notebook web界面的使用

这些目录都在安装所使用的用户的.ipython的目录下。

如果你不想使用默认的配置参数，可以直接写配置文件，启动服务时引用配置文件。

我们重点说一下python2[右边最后一个功能]，其它的一看就知道是什么意思了【2333.。】

打开后与前面的截图是一样的，这可以看作ipython的web界面，但它的功能不止于此，你可以把它当成编辑器，notebook，如果单一的使用ipython或是vim感觉总是缺点什么，但jupyter notebook就将两者结合的很好，当然还可能安装许多额外的扩展更好的支持你所需要的功能。

如果你不知道有那些快捷键可以点help-->Keyboard shortcuts查看支持的快捷键，还可以看帮助引导，分分钟教会你使用[我知道还是上图更有说服力，但太多了，就不操作了，当你安装成功自己找吧]

说的再多也不及你自己安装完成后体验一下。[我在网上见过一个大牛用jupyter写项目。。]

本文转自 jinlinger 51CTO博客，原文链接：http://blog.51cto.com/essun/1712773，如需转载请自行联系原作者

ipython notebook [jupyter] 使用

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