jupyter的功能和作用无需多讲，根据Anaconda------环境管理中创建的python36，在这里演示一下如何在这个python36中配置jupyter并且在宿主机中访问到。
环境：
虚拟机IP：192.168.43.61
宿主机IP：192.168.43.192
操作系统：centos-release-7-2.1511.el7.centos.2.10.x86_64
虚拟机：VirtualBox 6.1.24
Anaconda版本：Anaconda3-5.2.0-Linux-x86_64
[root@localhost home]# conda activate python362.生成配置文件
(python36) [root@localhost home]# jupyter notebook --generate-config --allow-root Writing default config to: /root/.jupyter/jupyter_notebook_config.py
提示创建的配置文件是/root/.jupyter/jupyter_notebook_config.py
打开ipython，生成sha1的密码
(python36) [root@localhost home]# ipython Python 3.6.5 |Anaconda, Inc.| (default, Apr 29 2018, 16:14:56) Type 'copyright', 'credits' or 'license' for more information IPython 6.4.0 -- An enhanced Interactive Python. Type '?' for help. In [1]: from notebook.auth import passwd In [2]: passwd() Enter password: Verify password: Out[2]: 'sha1:dcf803292d2d:fb68c58cb21a9e4a062dd4374cc0b7f4fa17d7df' In [3]: quit() (python36) [root@localhost home]#
需要记住自己输入的密码，这里只会显示加密后的信息，我用的密码是123456.测试呗，无所谓
(python36) [root@localhost home]# openssl req -x509 -nodes -days 365 -newkey rsa:4096 -keyout jkey.key -out jcert.pem Generating a RSA private key ................................................................++++ ....................++++ writing new private key to 'jkey.key' ----- You are about to be asked to enter information that will be incorporated into your certificate request. What you are about to enter is what is called a Distinguished Name or a DN. There are quite a few fields but you can leave some blank For some fields there will be a default value, If you enter '.', the field will be left blank. ----- Country Name (2 letter code) [AU]:CN State or Province Name (full name) [Some-State]:BJ Locality Name (eg, city) []:bj Organization Name (eg, company) [Internet Widgits Pty Ltd]: Organizational Unit Name (eg, section) []: Common Name (e.g. server FQDN or YOUR name) []: Email Address []: (python36) [root@localhost home]#5.修改自动生成的配置文件
vi /root/.jupyter/jupyter_notebook_config.py
配置内容如下
#就是刚才passwd()指令生成的密钥复制过来 c.NotebookApp.password = 'sha1:dcf803292d2d:fb68c58cb21a9e4a062dd4374cc0b7f4fa17d7df' #服务运行的端口，我这里指定的是8881 c.NotebookApp.port = 8881 #修改为0.0.0.0可以任意远程IP访问 c.NotebookApp.ip = '0.0.0.0' #默认不打开浏览器 c.NotebookApp.open_browser = False c.NotebookApp.certfile = '/home/conda_udf_data/jupyter/certification/jcert.pem' c.NotebookApp.keyfile = '/home/conda_udf_data/jupyter/certification/jkey.key'
切记：上面的参数值一定要放在单引号里面
jcert.pem和jkey.key是两个认证文件。
因为上面第2步是在home下执行的，因此创建的认证文件也是在home下面，其实这样这样不大安全，应该是事先创建好妥当的目录然后再创建认证文件，现在认证文件已经创建好了，我只能是在/home下重新创建了conda_udf_data/jupyter/certification然后把这俩认证文件移入到这个新的目录中，因此上面的c.NotebookApp.certfile 和 c.NotebookApp.keyfile 的文件路径发生了变化。
jupyter notebook --allow-root
可以看到jupyter已经启动成功，在宿主机上访问 https://192.168.43.61:8881/，可以打开jupyter WEB UI
可以从界面上看到这里有3个目录，再来看看home目录下的情况：
(python36) [root@bogon home]# pwd /home (python36) [root@bogon home]# ll total 0 drwxr-xr-x. 2 root root 44 Oct 13 04:44 backup drwxr-xr-x. 3 root root 20 Oct 14 01:45 conda_udf_data drwxr-xr-x. 2 root root 6 Oct 14 01:45 jupyter (python36) [root@bogon home]#
可以看到home目录下也是这三个目录，因此可以确定一个事实：在哪个目录下启动了jupyter，那么启动的web UI 上就可以显示哪个个目录下的内容，为了避免保留一些敏感信息，还是建议创建好一个空的目录，比如/home/conda_udf_data/jupyter/jupyer_root,然后再来启动jupyter，最好的办法是在/root/.jupyter/jupyter_notebook_config.py里面设置好工作目录：
c.NotebookApp.notebook_dir = '/home/conda_udf_data/jupyter/jupyer_root'
那么完整的设置是这样：
#就是刚才passwd()指令生成的密钥复制过来 c.NotebookApp.password = 'sha1:dcf803292d2d:fb68c58cb21a9e4a062dd4374cc0b7f4fa17d7df' #服务运行的端口，我这里指定的是8881 c.NotebookApp.port = 8881 #修改为0.0.0.0可以任意远程IP访问 c.NotebookApp.ip = '0.0.0.0' #默认不打开浏览器 c.NotebookApp.open_browser = False c.NotebookApp.certfile = '/home/conda_udf_data/jupyter/certification/jcert.pem' c.NotebookApp.keyfile = '/home/conda_udf_data/jupyter/certification/jkey.key' #设置工作路径 c.NotebookApp.notebook_dir = '/home/conda_udf_data/jupyter/jupyer_root'
我先在/home/conda_udf_data/jupyter/jupyer_root下创建一个文件，比如
ip addr >ip_addr.txt
[root@bogon jupyer_root]# ll total 4 -rw-r--r--. 1 root root 783 Oct 14 02:48 ip_addr.txt [root@bogon jupyer_root]# pwd /home/conda_udf_data/jupyter/jupyer_root [root@bogon jupyer_root]#
这个文件已经存在了，然后返回的到home后启动jupyter
(python36) [root@bogon jupyter]# cd /home/ (python36) [root@bogon home]# ll total 0 drwxr-xr-x. 2 root root 44 Oct 13 04:44 backup drwxr-xr-x. 3 root root 20 Oct 14 01:45 conda_udf_data drwxr-xr-x. 2 root root 6 Oct 14 01:45 jupyter (python36) [root@bogon home]# jupyter notebook --allow-root [I 02:55:12.297 NotebookApp] JupyterLab beta preview extension loaded from /usr/lib64/anaconda3/lib/python3.6/site-packages/jupyterlab [I 02:55:12.297 NotebookApp] JupyterLab application directory is /usr/lib64/anaconda3/share/jupyter/lab [I 02:55:12.301 NotebookApp] Serving notebooks from local directory: /home/conda_udf_data/jupyter/jupyer_root [I 02:55:12.302 NotebookApp] 0 active kernels [I 02:55:12.302 NotebookApp] The Jupyter Notebook is running at: [I 02:55:12.302 NotebookApp] https://bogon:8881/ [I 02:55:12.302 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip /confirm/iation).
在宿主机中查看https://192.168.43.61:8881
可以看到这次启动后看到的根目录就是指定的目录。
OK，大工搞成
