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快速搭建Jupyter notebook远程访问

kiah Python 八月 30, 2020
Contents hide
1 配置Python环境
1.1 安装Python Venv
1.2 安装Jupyterlab
1.3 生成Jupyter密码
1.4 Jupyter Conf配置
2 服务配置
3 体验jupyterlab的强大！
4 下一章节

W35周两天时间， 终于将阿里服务器上的东西搬到了腾讯云。顺便记录下搬运Jupyterlab/notebook挖的坑。

Jupyterlab是 jupyter notebook 后继版本， 有做比较多的扩展。

https://zhuanlan.zhihu.com/p/38612108

配置Python环境

安装Python Venv

使用python配置环境， 最容易的就是venv了， 所以我们就可以建立jupyter的用户，然后直接创建venv就可以了。创建venv，就相当于单独创建了一个python3环境， 不会跟系统的python发生冲突（尤其对于版本有需求的特别友好）。

python3 -m venv /path/of/venv

Ubuntu下可以直接source， windows 则直接activate即可

source /path/to/venv/bin/activate

相对应的，如果取消当前venv环境

deactivate

安装Jupyterlab

安装jupyterlab前， 需要先确认pip3有没有安装， 如果没有安装就可以先安装pip3

sudo apt-get install python3-pip

确认下版本， 如需要更新， 执行下面命令

python3 -m pip install --upgrade pip

建议配置pip 国内软件源，体验非一般的赶脚。

Pipe3 源更新

pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
安装Jupyter

pip3 install jupyter

安装完成后， 可以简单测试

jupyter notebook

然后确保内容是否正确。

生成Jupyter密码

    1. 生成默认配置
    2. 设置访问密码
    3. 配置文件修改
#jupyter notebook --generate-config
#~/.jupyter/jupyter_notebook_config.py

生成密码需要用到notebook.auth的passwd函数，进入IPython，然后调用passwd函数。将输出内容贴到配置文件即可。

In [1]: from notebook.auth import passwd 
In [2]: passwd() Enter password: Verify password: 
Out[2]: 'xxxxxxxxxxxxxxxxx'

Jupyter Conf配置

主要配置信息

c.NotebookApp.ip='*' 
c.NotebookApp.password = u'sha:ce...刚才复制的那个密文' 
c.NotebookApp.open_browser = False 
c.NotebookApp.port =8888 #可自行指定一个端口, 访问时使用该端口
c.NotebookApp.allow_remote = true # 远程访问务必配置的信息，否则外网无法访问
c.NotebookApp.keyfile = '/............/cert.key'
c.NotebookApp.certfile = '/.........../cert.pem'

如果需要配置SSL， 则需要额外配置keyfile/certfile两项。

配置完成后， 可以执行notebook 确认是否运行正常

jupyter notebook

服务配置 

[Unit]
Description=jupyter service
After=network.target remote-fs.target nss-lookup.target
[Service]
Type=simple
PIDFile=/run/jupyter.pid
User=jupyter_user_name
ExecStart=/bin/bash -c "source /path/to/venv/bin/activate && jupyter lab"
ExecReload=/bin/kill -s HUP $MAINPID
ExecStop=/bin/kill -s QUIT $MAINPID
PrivateTmp=true
[Install]
WantedBy=multi-user.target

保存为jupyter.service，然后放到/etc/systemd/system/jupyter.service.透过systemd enable jupyter, 并启动

sudo systemctl daemon-reload
sudo systemctl enable jupyter
sudo systemctl start jupyter
sudo systemctl status jupyter //查看jupyter 启动信息

如需要安装jupyter lab插件， 则需要安装nodejs

因为ubuntu 18.04 上预装的nodejs版本过低， 可以直接从源码构建并安装

wget 获取到node.js源码包，然后编译并安装

sudo ./configure
sudo make
sudo make install

体验jupyterlab的强大！

 

 

 

 

 

 

下一章节

  1. Nginx 反向代理
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