当前位置:   article > 正文

如何在云服务器使用docker快速部署jupyter web服务器(Nginx+docker+jupyter+tensorflow)_docker compose 部署jupyterlab

docker compose 部署jupyterlab
如何在云服务器部署jupyter web服务器
jack lee
邮箱:291148484@163.com
如有错误可以法邮件给我纠正,希望本文对你有所帮助。

导读:如果你用过百度人工只能的在线提交代码项目,是不是觉得AI Stdio很酷。或者阿里云天池,这些在线编程与NoteBook项目,它们往往后台集成了jupyter lab/notebook与相关的其它库,再进行自己的云技术相关配置。再这篇文章中,我将带你们在网络服务器上搭建一个基于tensorflow镜像的jupyter环境。阅读完本文后,你将掌握该类环境搭建的最基础的步骤。对于有兴趣者,你也可以尝试再搭建完成后对jupyter的web UI进行修改,建立一个自己风格的AI STDIO网络开发环境。

阿里天池
图:阿里天池 Notebook

在这里插入图片描述
图:百度 AI STDIO 。可以进入Notebook也可以进入终端,还有很多其它功能。


好的,现在我们自己试试开始吧!

如果你不能长期使用XShell,那么推荐使用一款免费好用的SSH工具链接你的Linux服务器:PuTTY
在这里插入图片描述
该工具安装简单、使用方便。可以自己在网上取查找相关教程,这里不做介绍了。 -

  • 注:文本内容以下以ubuntu系统为例,如果使用centos等其它Linux系统,再以下内容中基本就是包管理工具名不一样,替换即可

先要部署docker

如果你的Linux服务器没有配置国内源的话,可能接下来的下载速度会很慢,建议配置一个国内源。这里以阿里云为例。
配置前,需要安装vim工具:
如有必要,也先更新apt源:

apt update
apt upgrade -y
  • 1
  • 2

安装vim:

apt - get install vim
  • 1

然后使用vim编辑apt的源配置文件:

vim /etc/apt/sources.list
  • 1

先使用"#"号注释掉或者删掉原先的地址,而后添加以下内容(阿里云镜像):

deb http://mirrors.aliyun.com/ubuntu/ bionic main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ bionic-security main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ bionic-updates main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ bionic-proposed main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ bionic-backports main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ bionic main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ bionic-security main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ bionic-updates main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ bionic-proposed main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ bionic-backports main restricted universe multiverse
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10

保存,退出。
再次更新和升级:

apt-get update
apt-get install upgrade
  • 1
  • 2

安装docker

apt-get install docker
  • 1

既然向快速部署,我连jupyter都懒得自己安装。直接拉一个部署了jupyter的docker镜像:

docker pull tensorflow/tensorflow:latest
  • 1

这个镜像的下载过程需要一点时间。
然后将镜像运行为docker容器,同时映射端口一步到位:

docker run -it -p 80:8000 tensorflow/tensorflow:latest-jupyter
  • 1

我的思路是用Nginx做反向代理,进一步隐藏真实端口,这样更加安全。所以先映射到8000端口,而不是直接使用jupyter使用的8888(当然jupyter默认使用的端口也可以修改,这里不做介绍)。

第一次进入时,会直接在外部看到jupyter输出的信息并且已经启动了jupyter,直接Ctrl-C几次退出jupyter就好了,这不是我们需要的方式。

现在查看刚刚我们所有的docker容器:

docker ps -a
  • 1

可以看到打印出了当前创建的docker容器

CONTAINER ID        IMAGE                                  COMMAND                  CREATED             STATUS                         PORTS                            NAMES
c229f9b659fb        tensorflow/tensorflow:latest-jupyter   "bash -c 'source /et…"   2 minutes ago      Up 1 minutes                  8888/tcp, 0.0.0.0:80->8000/tcp   fervent_mclean
  • 1
  • 2

启动它(需要根据你自己创建的容器的ID):

docker start c229f9b659fb
  • 1

进入容器

docker exec -it c229f9b659fb /bin/bash
  • 1

进入容器后相当于进入了一个新的系统,对宿主机系统而言,容器里面相当于与外隔绝的虚拟隔离环境。只不过这个容器是直接拉了一个由tensorflow配好一些东西了,其它的也就相当于一个新的系统。并且在容器内,你直接拥有root权限,所有命令不需要sudo。进入之后,你也可以为容器内的系统配置为国内源。

在这里插入图片描述

图:由宿主机进入tensorflow官方docker run的系统容器后画面

这里,你能就按到tensorflow的LOGO。因为它们配置这个容器的时候顺便就配了一下商标。当然自己配置也不难,你完全可以自己尝试配置一个镜像然后添加自己的头像上床到docker hub供大家pull哈。

以下为进入后在docker容器内的操作。为了之后可以编辑配置文件,我们在容器内也是需要安装vim工具的,同样的方法:

apt update
apt install vim
  • 1
  • 2

安装lsof工具,因为之后我们需要查看网络端口情况:

apt install lsof
  • 1

安装Nginx部署Web服务器,之后以其作为反向代理:

apt install nginx
  • 1

接下来,通过vim工具打开nginx配置文件:

vim /etc/nginx/nginx.conf
  • 1

将该文件编辑为以下内容:

user www-data;
worker_processes auto;
pid /run/nginx.pid;
include /etc/nginx/modules-enabled/*.conf;

events {
        worker_connections 768;
        # multi_accept on;
}

http {

        ##
        # Basic Settings
        ##

        sendfile on;
        tcp_nopush on;
        tcp_nodelay on;
        keepalive_timeout 65;
        types_hash_max_size 2048;
        # server_tokens off;

        # server_names_hash_bucket_size 64;
        # server_name_in_redirect off;

        include /etc/nginx/mime.types;
        default_type application/octet-stream;

        ##
        # SSL Settings
        ##

        ssl_protocols TLSv1 TLSv1.1 TLSv1.2; # Dropping SSLv3, ref: POODLE
        ssl_prefer_server_ciphers on;

        ##
        # Logging Settings
        ##

        access_log /var/log/nginx/access.log;
        error_log /var/log/nginx/error.log;

        ##
        # Gzip Settings
        ##

        gzip on;

        # gzip_vary on;
        # gzip_proxied any;
        # gzip_comp_level 6;
        # gzip_buffers 16 8k;
        # gzip_http_version 1.1;
        # gzip_types text/plain text/css application/json application/javascript text/xml application/xml application/xml+rss text/javascript;

        ##
        # Virtual Host Configs
        ##

        include /etc/nginx/conf.d/*.conf;
        include /etc/nginx/sites-enabled/*;

        server {
            listen 8000;
            server_name 这里替换为你的域名或者服务器的IP地址;

            location / {
                proxy_set_header Host $host:$server_port;
                proxy_set_header X-Real-IP $remote_addr;
                proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
                proxy_pass http://127.0.0.1:8888;
            }
        }
}
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • 12
  • 13
  • 14
  • 15
  • 16
  • 17
  • 18
  • 19
  • 20
  • 21
  • 22
  • 23
  • 24
  • 25
  • 26
  • 27
  • 28
  • 29
  • 30
  • 31
  • 32
  • 33
  • 34
  • 35
  • 36
  • 37
  • 38
  • 39
  • 40
  • 41
  • 42
  • 43
  • 44
  • 45
  • 46
  • 47
  • 48
  • 49
  • 50
  • 51
  • 52
  • 53
  • 54
  • 55
  • 56
  • 57
  • 58
  • 59
  • 60
  • 61
  • 62
  • 63
  • 64
  • 65
  • 66
  • 67
  • 68
  • 69
  • 70
  • 71
  • 72
  • 73
  • 74
  • 75

编辑完成后保存,退出vim。

配置完成之后,还有一个Nginxm默认配置需要稍做修改:

cd /etc/nginx
  • 1
ls
  • 1

可以看到由以下文件和文件夹:

conf.d          koi-win            nginx.conf       sites-enabled
fastcgi.conf    mime.types         proxy_params     snippets
fastcgi_params  modules-available  scgi_params      uwsgi_params
koi-utf         modules-enabled    sites-available  win-utf
  • 1
  • 2
  • 3
  • 4

有个sites-available文件夹,可以用tab补齐的方法快熟输入:

 cd sites-available/
  • 1

里面只有一个`default文件:

ls
  • 1
default
  • 1

使用vim打开它:

vim default
  • 1

你看到的大概是这样的:

##
# You should look at the following URL's in order to grasp a solid understanding
# of Nginx configuration files in order to fully unleash the power of Nginx.
# https://www.nginx.com/resources/wiki/start/
# https://www.nginx.com/resources/wiki/start/topics/tutorials/config_pitfalls/
# https://wiki.debian.org/Nginx/DirectoryStructure
#
# In most cases, administrators will remove this file from sites-enabled/ and
# leave it as reference inside of sites-available where it will continue to be
# updated by the nginx packaging team.
#
# This file will automatically load configuration files provided by other
# applications, such as Drupal or Wordpress. These applications will be made
# available underneath a path with that package name, such as /drupal8.
#
# Please see /usr/share/doc/nginx-doc/examples/ for more detailed examples.
##

# Default server configuration
#
server {
        listen 80 default_server;
        listen [::]:80 default_server;

        # SSL configuration
        #
        # listen 443 ssl default_server;
        # listen [::]:443 ssl default_server;
        #
        # Note: You should disable gzip for SSL traffic.
        # See: https://bugs.debian.org/773332
        #
        # Read up on ssl_ciphers to ensure a secure configuration.
        # See: https://bugs.debian.org/765782
        #
        # Self signed certs generated by the ssl-cert package
        # Don't use them in a production server!
        #
        # include snippets/snakeoil.conf;

        root /var/www/html;

        # Add index.php to the list if you are using PHP
        index index.html index.htm index.nginx-debian.html;

        server_name _;

        location / {
                # First attempt to serve request as file, then
                # as directory, then fall back to displaying a 404.
                try_files $uri $uri/ = 404;
        }
...
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • 12
  • 13
  • 14
  • 15
  • 16
  • 17
  • 18
  • 19
  • 20
  • 21
  • 22
  • 23
  • 24
  • 25
  • 26
  • 27
  • 28
  • 29
  • 30
  • 31
  • 32
  • 33
  • 34
  • 35
  • 36
  • 37
  • 38
  • 39
  • 40
  • 41
  • 42
  • 43
  • 44
  • 45
  • 46
  • 47
  • 48
  • 49
  • 50
  • 51
  • 52
  • 53

(文件后面已省略)
server下的第二行,即

listen [::]:80 default_server;
  • 1

添加"#"符以注释掉:
在这里插入图片描述
保存,再退出。这样Nginx的配置就完成了。

为了作为服务器部署使用,jupyter是一定要配置密码的。接下来,我们先在docker容器中进入python编程环境。这个python就是部署jupyter的python,我们可以在里面计算哈希密码值:

python
  • 1

进入之后在交互式环境中输入以下两行python代码:

>>>from notebook.auth import passwd
>>>passwd()
  • 1
  • 2

这时系统将提示你输入密码,需要输入两次(第二次是密码的确认):

Enter password: ········
Verify password: ········
  • 1
  • 2

输入完成后,你将获取一个如下格式的字符串,这个就是加密后的密码(以我获取的为例):

'sha1:c018cb5b13a0:7b945869a95654d657655c9bb909d7a90112e843'
  • 1
'
运行

复制或者记录这个字符串,接下来我们需要用这个字符串来配置jupyter。
这里,先在交互式编程环境中使用python退出函数退回该环境:

exit()
  • 1
'
运行

现在我们回到了docker容器级"系统"下,先使用如下指令生成一个jupyter配置文件:

jupyter notebook --generate-config
  • 1

可以见到返回一行文字,它包含了生成的配置文件绝对路径:

Writing default config to: /root/.jupyter/jupyter_notebook_config.py
  • 1

我们现在使用vim打开它:

vim /root/.jupyter/jupyter_notebook_config.py
  • 1

以下是打开的配置文件,为了方便大家了解和学习jupyter配置,这里我们展示了整个配置文件的内容:

# Configuration file for jupyter-notebook.

#------------------------------------------------------------------------------
# Application(SingletonConfigurable) configuration
#------------------------------------------------------------------------------

## This is an application.

## The date format used by logging formatters for %(asctime)s
#c.Application.log_datefmt = '%Y-%m-%d %H:%M:%S'

## The Logging format template
#c.Application.log_format = '[%(name)s]%(highlevel)s %(message)s'

## Set the log level by value or name.
#c.Application.log_level = 30

#------------------------------------------------------------------------------
# JupyterApp(Application) configuration
#------------------------------------------------------------------------------

## Base class for Jupyter applications

## Answer yes to any prompts.
#c.JupyterApp.answer_yes = False

## Full path of a config file.
#c.JupyterApp.config_file = ''

## Specify a config file to load.
#c.JupyterApp.config_file_name = ''

## Generate default config file.
#c.JupyterApp.generate_config = False

#------------------------------------------------------------------------------
# NotebookApp(JupyterApp) configuration
#------------------------------------------------------------------------------

## Set the Access-Control-Allow-Credentials: true header
#c.NotebookApp.allow_credentials = False

## Set the Access-Control-Allow-Origin header
#
#  Use '*' to allow any origin to access your server.
#
#  Takes precedence over allow_origin_pat.
#c.NotebookApp.allow_origin = ''

## Use a regular expression for the Access-Control-Allow-Origin header
#
#  Requests from an origin matching the expression will get replies with:
#
#      Access-Control-Allow-Origin: origin
#
#  where `origin` is the origin of the request.
#
#  Ignored if allow_origin is set.
#c.NotebookApp.allow_origin_pat = ''

## Allow password to be changed at login for the notebook server.
#
#  While loggin in with a token, the notebook server UI will give the opportunity
#  to the user to enter a new password at the same time that will replace the
#  token login mechanism.
#
#  This can be set to false to prevent changing password from the UI/API.
#c.NotebookApp.allow_password_change = True

## Allow requests where the Host header doesn't point to a local server
#
#  By default, requests get a 403 forbidden response if the 'Host' header shows
#  that the browser thinks it's on a non-local domain. Setting this option to
#  True disables this check.
#
#  This protects against 'DNS rebinding' attacks, where a remote web server
#  serves you a page and then changes its DNS to send later requests to a local
#  IP, bypassing same-origin checks.
#
#  Local IP addresses (such as 127.0.0.1 and ::1) are allowed as local, along
#  with hostnames configured in local_hostnames.
#c.NotebookApp.allow_remote_access = False

## Whether to allow the user to run the notebook as root.
#c.NotebookApp.allow_root = False

## Reload the webapp when changes are made to any Python src files.
#c.NotebookApp.autoreload = False

## DEPRECATED use base_url
#c.NotebookApp.base_project_url = '/'

## The base URL for the notebook server.
#
#  Leading and trailing slashes can be omitted, and will automatically be added.
#c.NotebookApp.base_url = '/'

## Specify what command to use to invoke a web browser when opening the notebook.
#  If not specified, the default browser will be determined by the `webbrowser`
#  standard library module, which allows setting of the BROWSER environment
#  variable to override it.
#c.NotebookApp.browser = ''

## The full path to an SSL/TLS certificate file.
#c.NotebookApp.certfile = ''

## The full path to a certificate authority certificate for SSL/TLS client
#  authentication.
#c.NotebookApp.client_ca = ''

## The config manager class to use
#c.NotebookApp.config_manager_class = 'notebook.services.config.manager.ConfigManager'

## The notebook manager class to use.
#c.NotebookApp.contents_manager_class = 'notebook.services.contents.largefilemanager.LargeFileManager'

## Extra keyword arguments to pass to `set_secure_cookie`. See tornado's
#  set_secure_cookie docs for details.
#c.NotebookApp.cookie_options = {}

## The random bytes used to secure cookies. By default this is a new random
#  number every time you start the Notebook. Set it to a value in a config file
#  to enable logins to persist across server sessions.
#
#  Note: Cookie secrets should be kept private, do not share config files with
#  cookie_secret stored in plaintext (you can read the value from a file).
#c.NotebookApp.cookie_secret = b''

## The file where the cookie secret is stored.
#c.NotebookApp.cookie_secret_file = ''

## Override URL shown to users.
#
#  Replace actual URL, including protocol, address, port and base URL, with the
#  given value when displaying URL to the users. Do not change the actual
#  connection URL. If authentication token is enabled, the token is added to the
#  custom URL automatically.
#
#  This option is intended to be used when the URL to display to the user cannot
#  be determined reliably by the Jupyter notebook server (proxified or
#  containerized setups for example).
#c.NotebookApp.custom_display_url = ''

## The default URL to redirect to from `/`
#c.NotebookApp.default_url = '/tree'

## Disable cross-site-request-forgery protection
#
#  Jupyter notebook 4.3.1 introduces protection from cross-site request
#  forgeries, requiring API requests to either:
#
#  - originate from pages served by this server (validated with XSRF cookie and
#  token), or - authenticate with a token
#
#  Some anonymous compute resources still desire the ability to run code,
#  completely without authentication. These services can disable all
#  authentication and security checks, with the full knowledge of what that
#  implies.
#c.NotebookApp.disable_check_xsrf = False

## Whether to enable MathJax for typesetting math/TeX
#
#  MathJax is the javascript library Jupyter uses to render math/LaTeX. It is
#  very large, so you may want to disable it if you have a slow internet
#  connection, or for offline use of the notebook.
#
#  When disabled, equations etc. will appear as their untransformed TeX source.
#c.NotebookApp.enable_mathjax = True

## extra paths to look for Javascript notebook extensions
#c.NotebookApp.extra_nbextensions_path = []

## handlers that should be loaded at higher priority than the default services
#c.NotebookApp.extra_services = []

## Extra paths to search for serving static files.
#
#  This allows adding javascript/css to be available from the notebook server
#  machine, or overriding individual files in the IPython
#c.NotebookApp.extra_static_paths = []

## Extra paths to search for serving jinja templates.
#
#  Can be used to override templates from notebook.templates.
#c.NotebookApp.extra_template_paths = []

##
#c.NotebookApp.file_to_run = ''

## Extra keyword arguments to pass to `get_secure_cookie`. See tornado's
#  get_secure_cookie docs for details.
#c.NotebookApp.get_secure_cookie_kwargs = {}

## Deprecated: Use minified JS file or not, mainly use during dev to avoid JS
#  recompilation
#c.NotebookApp.ignore_minified_js = False

## (bytes/sec) Maximum rate at which stream output can be sent on iopub before
#  they are limited.
#c.NotebookApp.iopub_data_rate_limit = 1000000

## (msgs/sec) Maximum rate at which messages can be sent on iopub before they are
#  limited.
#c.NotebookApp.iopub_msg_rate_limit = 1000

## The IP address the notebook server will listen on.
#c.NotebookApp.ip = 'localhost'

## Supply extra arguments that will be passed to Jinja environment.
#c.NotebookApp.jinja_environment_options = {}

## Extra variables to supply to jinja templates when rendering.
#c.NotebookApp.jinja_template_vars = {}

## The kernel manager class to use.
#c.NotebookApp.kernel_manager_class = 'notebook.services.kernels.kernelmanager.MappingKernelManager'

## The kernel spec manager class to use. Should be a subclass of
#  `jupyter_client.kernelspec.KernelSpecManager`.
#
#  The Api of KernelSpecManager is provisional and might change without warning
#  between this version of Jupyter and the next stable one.
#c.NotebookApp.kernel_spec_manager_class = 'jupyter_client.kernelspec.KernelSpecManager'

## The full path to a private key file for usage with SSL/TLS.
#c.NotebookApp.keyfile = ''

## Hostnames to allow as local when allow_remote_access is False.
#
#  Local IP addresses (such as 127.0.0.1 and ::1) are automatically accepted as
#  local as well.
#c.NotebookApp.local_hostnames = ['localhost']

## The login handler class to use.
#c.NotebookApp.login_handler_class = 'notebook.auth.login.LoginHandler'

## The logout handler class to use.
#c.NotebookApp.logout_handler_class = 'notebook.auth.logout.LogoutHandler'

## The MathJax.js configuration file that is to be used.
#c.NotebookApp.mathjax_config = 'TeX-AMS-MML_HTMLorMML-full,Safe'

## A custom url for MathJax.js. Should be in the form of a case-sensitive url to
#  MathJax, for example:  /static/components/MathJax/MathJax.js
#c.NotebookApp.mathjax_url = ''

## Sets the maximum allowed size of the client request body, specified in the
#  Content-Length request header field. If the size in a request exceeds the
#  configured value, a malformed HTTP message is returned to the client.
#
#  Note: max_body_size is applied even in streaming mode.
#c.NotebookApp.max_body_size = 536870912

## Gets or sets the maximum amount of memory, in bytes, that is allocated for use
#  by the buffer manager.
#c.NotebookApp.max_buffer_size = 536870912

## Gets or sets a lower bound on the open file handles process resource limit.
#  This may need to be increased if you run into an OSError: [Errno 24] Too many
#  open files. This is not applicable when running on Windows.
#c.NotebookApp.min_open_files_limit = 0

## Dict of Python modules to load as notebook server extensions.Entry values can
#  be used to enable and disable the loading ofthe extensions. The extensions
#  will be loaded in alphabetical order.
#c.NotebookApp.nbserver_extensions = {}

## The directory to use for notebooks and kernels.
#c.NotebookApp.notebook_dir = ''

## Whether to open in a browser after starting. The specific browser used is
#  platform dependent and determined by the python standard library `webbrowser`
#  module, unless it is overridden using the --browser (NotebookApp.browser)
#  configuration option.
#c.NotebookApp.open_browser = True

## Hashed password to use for web authentication.
#
#  To generate, type in a python/IPython shell:
#
#    from notebook.auth import passwd; passwd()
#
#  The string should be of the form type:salt:hashed-password.
#c.NotebookApp.password = ''

## Forces users to use a password for the Notebook server. This is useful in a
#  multi user environment, for instance when everybody in the LAN can access each
#  other's machine through ssh.
#
#  In such a case, serving the notebook server on localhost is not secure since
#  any user can connect to the notebook server via ssh.
#c.NotebookApp.password_required = False

## The port the notebook server will listen on (env: JUPYTER_PORT).
#c.NotebookApp.port = 8888

## The number of additional ports to try if the specified port is not available
#  (env: JUPYTER_PORT_RETRIES).
#c.NotebookApp.port_retries = 50


## DISABLED: use %pylab or %matplotlib in the notebook to enable matplotlib.
#c.NotebookApp.pylab = 'disabled'

## If True, display a button in the dashboard to quit (shutdown the notebook
#  server).
#c.NotebookApp.quit_button = True

## (sec) Time window used to check the message and data rate limits.
#c.NotebookApp.rate_limit_window = 3

## Reraise exceptions encountered loading server extensions?
#c.NotebookApp.reraise_server_extension_failures = False

## DEPRECATED use the nbserver_extensions dict instead
#c.NotebookApp.server_extensions = []

## The session manager class to use.
#c.NotebookApp.session_manager_class = 'notebook.services.sessions.sessionmanager.SessionManager'

## Shut down the server after N seconds with no kernels or terminals running and
#  no activity. This can be used together with culling idle kernels
#  (MappingKernelManager.cull_idle_timeout) to shutdown the notebook server when
#  it's not in use. This is not precisely timed: it may shut down up to a minute
#  later. 0 (the default) disables this automatic shutdown.
#c.NotebookApp.shutdown_no_activity_timeout = 0

## The UNIX socket the notebook server will listen on.
#c.NotebookApp.sock = ''

## The permissions mode for UNIX socket creation (default: 0600).
#c.NotebookApp.sock_mode = '0600'

## Supply SSL options for the tornado HTTPServer. See the tornado docs for
#  details.
#c.NotebookApp.ssl_options = {}

## Supply overrides for terminado. Currently only supports "shell_command". On
#  Unix, if "shell_command" is not provided, a non-login shell is launched by
#  default when the notebook server is connected to a terminal, a login shell
#  otherwise.
#c.NotebookApp.terminado_settings = {}

## Set to False to disable terminals.
#
#  This does *not* make the notebook server more secure by itself. Anything the
#  user can in a terminal, they can also do in a notebook.
#
#  Terminals may also be automatically disabled if the terminado package is not
#  available.
#c.NotebookApp.terminals_enabled = True

## Token used for authenticating first-time connections to the server.
#
#  The token can be read from the file referenced by JUPYTER_TOKEN_FILE or set
#  directly with the JUPYTER_TOKEN environment variable.
#
#  When no password is enabled, the default is to generate a new, random token.
#
#  Setting to an empty string disables authentication altogether, which is NOT
#  RECOMMENDED.
#c.NotebookApp.token = '<generated>'

## Supply overrides for the tornado.web.Application that the Jupyter notebook
#  uses.
#c.NotebookApp.tornado_settings = {}

## Whether to trust or not X-Scheme/X-Forwarded-Proto and X-Real-Ip/X-Forwarded-
#  For headerssent by the upstream reverse proxy. Necessary if the proxy handles
#  SSL
#c.NotebookApp.trust_xheaders = False

## Disable launching browser by redirect file
#
#  For versions of notebook > 5.7.2, a security feature measure was added that
#  prevented the authentication token used to launch the browser from being
#  visible. This feature makes it difficult for other users on a multi-user
#  system from running code in your Jupyter session as you.
#
#  However, some environments (like Windows Subsystem for Linux (WSL) and
#  Chromebooks), launching a browser using a redirect file can lead the browser
#  failing to load. This is because of the difference in file structures/paths
#  between the runtime and the browser.
#
#  Disabling this setting to False will disable this behavior, allowing the
#  browser to launch by using a URL and visible token (as before).
#c.NotebookApp.use_redirect_file = True

## DEPRECATED, use tornado_settings
#c.NotebookApp.webapp_settings = {}

## Specify Where to open the notebook on startup. This is the `new` argument
#  passed to the standard library method `webbrowser.open`. The behaviour is not
#  guaranteed, but depends on browser support. Valid values are:
#
#   - 2 opens a new tab,
#   - 1 opens a new window,
#   - 0 opens in an existing window.
#
#  See the `webbrowser.open` documentation for details.
#c.NotebookApp.webbrowser_open_new = 2

## Set the tornado compression options for websocket connections.
#
#  This value will be returned from
#  :meth:`WebSocketHandler.get_compression_options`. None (default) will disable
#  compression. A dict (even an empty one) will enable compression.
#
#  See the tornado docs for WebSocketHandler.get_compression_options for details.
#c.NotebookApp.websocket_compression_options = None

## The base URL for websockets, if it differs from the HTTP server (hint: it
#  almost certainly doesn't).
#
#  Should be in the form of an HTTP origin: ws[s]://hostname[:port]
#c.NotebookApp.websocket_url = ''


#------------------------------------------------------------------------------
# ConnectionFileMixin(LoggingConfigurable) configuration
#------------------------------------------------------------------------------

## Mixin for configurable classes that work with connection files

## JSON file in which to store connection info [default: kernel-<pid>.json]
#
#  This file will contain the IP, ports, and authentication key needed to connect
#  clients to this kernel. By default, this file will be created in the security
#  dir of the current profile, but can be specified by absolute path.
#c.ConnectionFileMixin.connection_file = ''

## set the control (ROUTER) port [default: random]
#c.ConnectionFileMixin.control_port = 0

## set the heartbeat port [default: random]
#c.ConnectionFileMixin.hb_port = 0

## set the iopub (PUB) port [default: random]
#c.ConnectionFileMixin.iopub_port = 0

## Set the kernel's IP address [default localhost]. If the IP address is
#  something other than localhost, then Consoles on other machines will be able
#  to connect to the Kernel, so be careful!
#c.ConnectionFileMixin.ip = ''

## set the shell (ROUTER) port [default: random]
#c.ConnectionFileMixin.shell_port = 0

## set the stdin (ROUTER) port [default: random]
#c.ConnectionFileMixin.stdin_port = 0

##
#c.ConnectionFileMixin.transport = 'tcp'

#------------------------------------------------------------------------------
# KernelManager(ConnectionFileMixin) configuration
#------------------------------------------------------------------------------

## Manages a single kernel in a subprocess on this host.
#
#  This version starts kernels with Popen.

## Should we autorestart the kernel if it dies.
#c.KernelManager.autorestart = True

## DEPRECATED: Use kernel_name instead.
#
#  The Popen Command to launch the kernel. Override this if you have a custom
#  kernel. If kernel_cmd is specified in a configuration file, Jupyter does not
#  pass any arguments to the kernel, because it cannot make any assumptions about
#  the arguments that the kernel understands. In particular, this means that the
#  kernel does not receive the option --debug if it given on the Jupyter command
#  line.
#c.KernelManager.kernel_cmd = []

## Time to wait for a kernel to terminate before killing it, in seconds.
#c.KernelManager.shutdown_wait_time = 5.0


#------------------------------------------------------------------------------
# Session(Configurable) configuration
#------------------------------------------------------------------------------

## Object for handling serialization and sending of messages.
#
#  The Session object handles building messages and sending them with ZMQ sockets
#  or ZMQStream objects.  Objects can communicate with each other over the
#  network via Session objects, and only need to work with the dict-based IPython
#  message spec. The Session will handle serialization/deserialization, security,
#  and metadata.
#
#  Sessions support configurable serialization via packer/unpacker traits, and
#  signing with HMAC digests via the key/keyfile traits.
#
#  Parameters ----------
#
#  debug : bool
#      whether to trigger extra debugging statements
#  packer/unpacker : str : 'json', 'pickle' or import_string
#      importstrings for methods to serialize message parts.  If just
#      'json' or 'pickle', predefined JSON and pickle packers will be used.
#      Otherwise, the entire importstring must be used.
#
#      The functions must accept at least valid JSON input, and output *bytes*.
#
#      For example, to use msgpack:
#      packer = 'msgpack.packb', unpacker='msgpack.unpackb'
#  pack/unpack : callables
#      You can also set the pack/unpack callables for serialization directly.
#  session : bytes
#      the ID of this Session object.  The default is to generate a new UUID.
#  username : unicode
#      username added to message headers.  The default is to ask the OS.
#  key : bytes
#      The key used to initialize an HMAC signature.  If unset, messages
#      will not be signed or checked.
#  keyfile : filepath
#      The file containing a key.  If this is set, `key` will be initialized
#      to the contents of the file.

## Threshold (in bytes) beyond which an object's buffer should be extracted to
#  avoid pickling.
#c.Session.buffer_threshold = 1024

## Whether to check PID to protect against calls after fork.
#
#  This check can be disabled if fork-safety is handled elsewhere.
#c.Session.check_pid = True

## Threshold (in bytes) beyond which a buffer should be sent without copying.
#c.Session.copy_threshold = 65536

## Debug output in the Session
#c.Session.debug = False

## The maximum number of digests to remember.
#
#  The digest history will be culled when it exceeds this value.
#c.Session.digest_history_size = 65536


## The maximum number of items for a container to be introspected for custom
#  serialization. Containers larger than this are pickled outright.
#c.Session.item_threshold = 64

## execution key, for signing messages.
#c.Session.key = b''

## path to file containing execution key.
#c.Session.keyfile = ''

## Metadata dictionary, which serves as the default top-level metadata dict for
#  each message.
#c.Session.metadata = {}

## The name of the packer for serializing messages. Should be one of 'json',
#  'pickle', or an import name for a custom callable serializer.
#c.Session.packer = 'json'

## The UUID identifying this session.
#c.Session.session = ''

## The digest scheme used to construct the message signatures. Must have the form
#  'hmac-HASH'.
#c.Session.signature_scheme = 'hmac-sha256'

## The name of the unpacker for unserializing messages. Only used with custom
#  functions for `packer`.
#c.Session.unpacker = 'json'

## Username for the Session. Default is your system username.
#c.Session.username = 'username'

#------------------------------------------------------------------------------
# MultiKernelManager(LoggingConfigurable) configuration
#------------------------------------------------------------------------------

## A class for managing multiple kernels.

## The name of the default kernel to start
#c.MultiKernelManager.default_kernel_name = 'python3'

## The kernel manager class.  This is configurable to allow subclassing of the
#  KernelManager for customized behavior.
#c.MultiKernelManager.kernel_manager_class = 'jupyter_client.ioloop.IOLoopKernelManager'

## Share a single zmq.Context to talk to all my kernels
#c.MultiKernelManager.shared_context = True

#------------------------------------------------------------------------------
# MappingKernelManager(MultiKernelManager) configuration
#------------------------------------------------------------------------------

## A KernelManager that handles notebook mapping and HTTP error handling

## White list of allowed kernel message types. When the list is empty, all
#  message types are allowed.
#c.MappingKernelManager.allowed_message_types = []

## Whether messages from kernels whose frontends have disconnected should be
#  buffered in-memory. When True (default), messages are buffered and replayed on
#  reconnect, avoiding lost messages due to interrupted connectivity. Disable if
#  long-running kernels will produce too much output while no frontends are
#  connected.
#c.MappingKernelManager.buffer_offline_messages = True

## Whether to consider culling kernels which are busy. Only effective if
#  cull_idle_timeout > 0.
#c.MappingKernelManager.cull_busy = False

## Whether to consider culling kernels which have one or more connections. Only
#  effective if cull_idle_timeout > 0.
#c.MappingKernelManager.cull_connected = False

## Timeout (in seconds) after which a kernel is considered idle and ready to be
#  culled. Values of 0 or lower disable culling. Very short timeouts may result
#  in kernels being culled for users with poor network connections.
#c.MappingKernelManager.cull_idle_timeout = 0

## The interval (in seconds) on which to check for idle kernels exceeding the
#  cull timeout value.
#c.MappingKernelManager.cull_interval = 300

## Timeout for giving up on a kernel (in seconds). On starting and restarting
#  kernels, we check whether the kernel is running and responsive by sending
#  kernel_info_requests. This sets the timeout in seconds for how long the kernel
#  can take before being presumed dead. This affects the MappingKernelManager
#  (which handles kernel restarts) and the ZMQChannelsHandler (which handles the
#  startup).
#c.MappingKernelManager.kernel_info_timeout = 60

##
#c.MappingKernelManager.root_dir = ''

#------------------------------------------------------------------------------
# KernelSpecManager(LoggingConfigurable) configuration
#------------------------------------------------------------------------------

## If there is no Python kernelspec registered and the IPython kernel is
#  available, ensure it is added to the spec list.
#c.KernelSpecManager.ensure_native_kernel = True

## The kernel spec class.  This is configurable to allow subclassing of the
#  KernelSpecManager for customized behavior.
#c.KernelSpecManager.kernel_spec_class = 'jupyter_client.kernelspec.KernelSpec'

## Whitelist of allowed kernel names.
#
#  By default, all installed kernels are allowed.
#c.KernelSpecManager.whitelist = set()


#------------------------------------------------------------------------------
# ContentsManager(LoggingConfigurable) configuration
#------------------------------------------------------------------------------

## Base class for serving files and directories.
#
#  This serves any text or binary file, as well as directories, with special
#  handling for JSON notebook documents.
#
#  Most APIs take a path argument, which is always an API-style unicode path, and
#  always refers to a directory.
#
#  - unicode, not url-escaped
#  - '/'-separated
#  - leading and trailing '/' will be stripped
#  - if unspecified, path defaults to '',
#    indicating the root path.

## Allow access to hidden files
#c.ContentsManager.allow_hidden = False

##
#c.ContentsManager.checkpoints = None

##
#c.ContentsManager.checkpoints_class = 'notebook.services.contents.checkpoints.Checkpoints'

##
#c.ContentsManager.checkpoints_kwargs = {}

## handler class to use when serving raw file requests.
#
#  Default is a fallback that talks to the ContentsManager API, which may be
#  inefficient, especially for large files.
#
#  Local files-based ContentsManagers can use a StaticFileHandler subclass, which
#  will be much more efficient.
#
#  Access to these files should be Authenticated.
#c.ContentsManager.files_handler_class = 'notebook.files.handlers.FilesHandler'

## Extra parameters to pass to files_handler_class.
#
#  For example, StaticFileHandlers generally expect a `path` argument specifying
#  the root directory from which to serve files.
#c.ContentsManager.files_handler_params = {}

## Glob patterns to hide in file and directory listings.
#c.ContentsManager.hide_globs = ['__pycache__', '*.pyc', '*.pyo', '.DS_Store', '*.so', '*.dylib', '*~']

## Python callable or importstring thereof
#
#  To be called on a contents model prior to save.
#
#  This can be used to process the structure, such as removing notebook outputs
#  or other side effects that should not be saved.
#
#  It will be called as (all arguments passed by keyword)::
#
#      hook(path=path, model=model, contents_manager=self)
#
#  - model: the model to be saved. Includes file contents.
#    Modifying this dict will affect the file that is stored.
#  - path: the API path of the save destination
#  - contents_manager: this ContentsManager instance
#c.ContentsManager.pre_save_hook = None

##
#c.ContentsManager.root_dir = '/'

## The base name used when creating untitled directories.
#c.ContentsManager.untitled_directory = 'Untitled Folder'

## The base name used when creating untitled files.
#c.ContentsManager.untitled_file = 'untitled'

## The base name used when creating untitled notebooks.
#c.ContentsManager.untitled_notebook = 'Untitled'

#------------------------------------------------------------------------------
# FileManagerMixin(Configurable) configuration
#------------------------------------------------------------------------------

## Mixin for ContentsAPI classes that interact with the filesystem.
#
#  Provides facilities for reading, writing, and copying both notebooks and
#  generic files.
#
#  Shared by FileContentsManager and FileCheckpoints.
#
#  Note ---- Classes using this mixin must provide the following attributes:
#
#  root_dir : unicode
#      A directory against against which API-style paths are to be resolved.
#
#  log : logging.Logger

## By default notebooks are saved on disk on a temporary file and then if
#  successfully written, it replaces the old ones. This procedure, namely
#  'atomic_writing', causes some bugs on file system without operation order
#  enforcement (like some networked fs). If set to False, the new notebook is
#  written directly on the old one which could fail (eg: full filesystem or quota
#  )
#c.FileManagerMixin.use_atomic_writing = True


#------------------------------------------------------------------------------
# FileContentsManager(FileManagerMixin,ContentsManager) configuration
#------------------------------------------------------------------------------

## If True (default), deleting files will send them to the platform's
#  trash/recycle bin, where they can be recovered. If False, deleting files
#  really deletes them.
#c.FileContentsManager.delete_to_trash = True

## Python callable or importstring thereof
#
#  to be called on the path of a file just saved.
#
#  This can be used to process the file on disk, such as converting the notebook
#  to a script or HTML via nbconvert.
#
#  It will be called as (all arguments passed by keyword)::
#
#      hook(os_path=os_path, model=model, contents_manager=instance)
#
#  - path: the filesystem path to the file just written - model: the model
#  representing the file - contents_manager: this ContentsManager instance
#c.FileContentsManager.post_save_hook = None

##
#c.FileContentsManager.root_dir = ''

## DEPRECATED, use post_save_hook. Will be removed in Notebook 5.0
#c.FileContentsManager.save_script = False

#------------------------------------------------------------------------------
# NotebookNotary(LoggingConfigurable) configuration
#------------------------------------------------------------------------------

## A class for computing and verifying notebook signatures.

## The hashing algorithm used to sign notebooks.
#c.NotebookNotary.algorithm = 'sha256'

## The sqlite file in which to store notebook signatures. By default, this will
#  be in your Jupyter data directory. You can set it to ':memory:' to disable
#  sqlite writing to the filesystem.
#c.NotebookNotary.db_file = ''

## The secret key with which notebooks are signed.
#c.NotebookNotary.secret = b''

## The file where the secret key is stored.
#c.NotebookNotary.secret_file = ''

## A callable returning the storage backend for notebook signatures. The default
#  uses an SQLite database.
#c.NotebookNotary.store_factory = traitlets.Undefined

#------------------------------------------------------------------------------
# GatewayKernelManager(MappingKernelManager) configuration
#------------------------------------------------------------------------------

## Kernel manager that supports remote kernels hosted by Jupyter Kernel or
#  Enterprise Gateway.

#------------------------------------------------------------------------------
# GatewayKernelSpecManager(KernelSpecManager) configuration
#------------------------------------------------------------------------------

#------------------------------------------------------------------------------
# GatewayClient(SingletonConfigurable) configuration
#------------------------------------------------------------------------------

## This class manages the configuration.  It's its own singleton class so that we
#  can share these values across all objects.  It also contains some helper methods
#   to build request arguments out of the various config options.

## The authorization token used in the HTTP headers.  (JUPYTER_GATEWAY_AUTH_TOKEN
#  env var)
#c.GatewayClient.auth_token = None

## The filename of CA certificates or None to use defaults.
#  (JUPYTER_GATEWAY_CA_CERTS env var)
#c.GatewayClient.ca_certs = None

## The filename for client SSL certificate, if any.  (JUPYTER_GATEWAY_CLIENT_CERT
#  env var)
#c.GatewayClient.client_cert = None

## The filename for client SSL key, if any.  (JUPYTER_GATEWAY_CLIENT_KEY env var)
#c.GatewayClient.client_key = None

## The time allowed for HTTP connection establishment with the Gateway server.
#  (JUPYTER_GATEWAY_CONNECT_TIMEOUT env var)
#c.GatewayClient.connect_timeout = 40.0

## A comma-separated list of environment variable names that will be included,
#  along with their values, in the kernel startup request.  The corresponding
#  `env_whitelist` configuration value must also be set on the Gateway server -
#  since that configuration value indicates which environmental values to make
#  available to the kernel. (JUPYTER_GATEWAY_ENV_WHITELIST env var)
#c.GatewayClient.env_whitelist = ''

## Additional HTTP headers to pass on the request.  This value will be converted
#  to a dict. (JUPYTER_GATEWAY_HEADERS env var)
#c.GatewayClient.headers = '{}'

## The password for HTTP authentication.  (JUPYTER_GATEWAY_HTTP_PWD env var)
#c.GatewayClient.http_pwd = None

## The username for HTTP authentication. (JUPYTER_GATEWAY_HTTP_USER env var)
#c.GatewayClient.http_user = None

## The gateway API endpoint for accessing kernel resources
#  (JUPYTER_GATEWAY_KERNELS_ENDPOINT env var)
#c.GatewayClient.kernels_endpoint = '/api/kernels'

## The gateway API endpoint for accessing kernelspecs
#  (JUPYTER_GATEWAY_KERNELSPECS_ENDPOINT env var)
#c.GatewayClient.kernelspecs_endpoint = '/api/kernelspecs'

## The gateway endpoint for accessing kernelspecs resources
#  (JUPYTER_GATEWAY_KERNELSPECS_RESOURCE_ENDPOINT env var)
#c.GatewayClient.kernelspecs_resource_endpoint = '/kernelspecs'

## The time allowed for HTTP request completion. (JUPYTER_GATEWAY_REQUEST_TIMEOUT
#  env var)
#c.GatewayClient.request_timeout = 40.0

## The url of the Kernel or Enterprise Gateway server where kernel specifications
#  are defined and kernel management takes place. If defined, this Notebook
#  server acts as a proxy for all kernel management and kernel specification
#  retrieval.  (JUPYTER_GATEWAY_URL env var)
#c.GatewayClient.url = None

## For HTTPS requests, determines if server's certificate should be validated or
#  not. (JUPYTER_GATEWAY_VALIDATE_CERT env var)
#c.GatewayClient.validate_cert = True

## The websocket url of the Kernel or Enterprise Gateway server.  If not
#  provided, this value will correspond to the value of the Gateway url with 'ws'
#  in place of 'http'.  (JUPYTER_GATEWAY_WS_URL env var)
#c.GatewayClient.ws_url = None

#------------------------------------------------------------------------------
# TerminalManager(LoggingConfigurable,NamedTermManager) configuration
#------------------------------------------------------------------------------

##

## Timeout (in seconds) in which a terminal has been inactive and ready to be
#  culled. Values of 0 or lower disable culling.
#c.TerminalManager.cull_inactive_timeout = 0

## The interval (in seconds) on which to check for terminals exceeding the
#  inactive timeout value.
#c.TerminalManager.cull_interval = 300
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • 12
  • 13
  • 14
  • 15
  • 16
  • 17
  • 18
  • 19
  • 20
  • 21
  • 22
  • 23
  • 24
  • 25
  • 26
  • 27
  • 28
  • 29
  • 30
  • 31
  • 32
  • 33
  • 34
  • 35
  • 36
  • 37
  • 38
  • 39
  • 40
  • 41
  • 42
  • 43
  • 44
  • 45
  • 46
  • 47
  • 48
  • 49
  • 50
  • 51
  • 52
  • 53
  • 54
  • 55
  • 56
  • 57
  • 58
  • 59
  • 60
  • 61
  • 62
  • 63
  • 64
  • 65
  • 66
  • 67
  • 68
  • 69
  • 70
  • 71
  • 72
  • 73
  • 74
  • 75
  • 76
  • 77
  • 78
  • 79
  • 80
  • 81
  • 82
  • 83
  • 84
  • 85
  • 86
  • 87
  • 88
  • 89
  • 90
  • 91
  • 92
  • 93
  • 94
  • 95
  • 96
  • 97
  • 98
  • 99
  • 100
  • 101
  • 102
  • 103
  • 104
  • 105
  • 106
  • 107
  • 108
  • 109
  • 110
  • 111
  • 112
  • 113
  • 114
  • 115
  • 116
  • 117
  • 118
  • 119
  • 120
  • 121
  • 122
  • 123
  • 124
  • 125
  • 126
  • 127
  • 128
  • 129
  • 130
  • 131
  • 132
  • 133
  • 134
  • 135
  • 136
  • 137
  • 138
  • 139
  • 140
  • 141
  • 142
  • 143
  • 144
  • 145
  • 146
  • 147
  • 148
  • 149
  • 150
  • 151
  • 152
  • 153
  • 154
  • 155
  • 156
  • 157
  • 158
  • 159
  • 160
  • 161
  • 162
  • 163
  • 164
  • 165
  • 166
  • 167
  • 168
  • 169
  • 170
  • 171
  • 172
  • 173
  • 174
  • 175
  • 176
  • 177
  • 178
  • 179
  • 180
  • 181
  • 182
  • 183
  • 184
  • 185
  • 186
  • 187
  • 188
  • 189
  • 190
  • 191
  • 192
  • 193
  • 194
  • 195
  • 196
  • 197
  • 198
  • 199
  • 200
  • 201
  • 202
  • 203
  • 204
  • 205
  • 206
  • 207
  • 208
  • 209
  • 210
  • 211
  • 212
  • 213
  • 214
  • 215
  • 216
  • 217
  • 218
  • 219
  • 220
  • 221
  • 222
  • 223
  • 224
  • 225
  • 226
  • 227
  • 228
  • 229
  • 230
  • 231
  • 232
  • 233
  • 234
  • 235
  • 236
  • 237
  • 238
  • 239
  • 240
  • 241
  • 242
  • 243
  • 244
  • 245
  • 246
  • 247
  • 248
  • 249
  • 250
  • 251
  • 252
  • 253
  • 254
  • 255
  • 256
  • 257
  • 258
  • 259
  • 260
  • 261
  • 262
  • 263
  • 264
  • 265
  • 266
  • 267
  • 268
  • 269
  • 270
  • 271
  • 272
  • 273
  • 274
  • 275
  • 276
  • 277
  • 278
  • 279
  • 280
  • 281
  • 282
  • 283
  • 284
  • 285
  • 286
  • 287
  • 288
  • 289
  • 290
  • 291
  • 292
  • 293
  • 294
  • 295
  • 296
  • 297
  • 298
  • 299
  • 300
  • 301
  • 302
  • 303
  • 304
  • 305
  • 306
  • 307
  • 308
  • 309
  • 310
  • 311
  • 312
  • 313
  • 314
  • 315
  • 316
  • 317
  • 318
  • 319
  • 320
  • 321
  • 322
  • 323
  • 324
  • 325
  • 326
  • 327
  • 328
  • 329
  • 330
  • 331
  • 332
  • 333
  • 334
  • 335
  • 336
  • 337
  • 338
  • 339
  • 340
  • 341
  • 342
  • 343
  • 344
  • 345
  • 346
  • 347
  • 348
  • 349
  • 350
  • 351
  • 352
  • 353
  • 354
  • 355
  • 356
  • 357
  • 358
  • 359
  • 360
  • 361
  • 362
  • 363
  • 364
  • 365
  • 366
  • 367
  • 368
  • 369
  • 370
  • 371
  • 372
  • 373
  • 374
  • 375
  • 376
  • 377
  • 378
  • 379
  • 380
  • 381
  • 382
  • 383
  • 384
  • 385
  • 386
  • 387
  • 388
  • 389
  • 390
  • 391
  • 392
  • 393
  • 394
  • 395
  • 396
  • 397
  • 398
  • 399
  • 400
  • 401
  • 402
  • 403
  • 404
  • 405
  • 406
  • 407
  • 408
  • 409
  • 410
  • 411
  • 412
  • 413
  • 414
  • 415
  • 416
  • 417
  • 418
  • 419
  • 420
  • 421
  • 422
  • 423
  • 424
  • 425
  • 426
  • 427
  • 428
  • 429
  • 430
  • 431
  • 432
  • 433
  • 434
  • 435
  • 436
  • 437
  • 438
  • 439
  • 440
  • 441
  • 442
  • 443
  • 444
  • 445
  • 446
  • 447
  • 448
  • 449
  • 450
  • 451
  • 452
  • 453
  • 454
  • 455
  • 456
  • 457
  • 458
  • 459
  • 460
  • 461
  • 462
  • 463
  • 464
  • 465
  • 466
  • 467
  • 468
  • 469
  • 470
  • 471
  • 472
  • 473
  • 474
  • 475
  • 476
  • 477
  • 478
  • 479
  • 480
  • 481
  • 482
  • 483
  • 484
  • 485
  • 486
  • 487
  • 488
  • 489
  • 490
  • 491
  • 492
  • 493
  • 494
  • 495
  • 496
  • 497
  • 498
  • 499
  • 500
  • 501
  • 502
  • 503
  • 504
  • 505
  • 506
  • 507
  • 508
  • 509
  • 510
  • 511
  • 512
  • 513
  • 514
  • 515
  • 516
  • 517
  • 518
  • 519
  • 520
  • 521
  • 522
  • 523
  • 524
  • 525
  • 526
  • 527
  • 528
  • 529
  • 530
  • 531
  • 532
  • 533
  • 534
  • 535
  • 536
  • 537
  • 538
  • 539
  • 540
  • 541
  • 542
  • 543
  • 544
  • 545
  • 546
  • 547
  • 548
  • 549
  • 550
  • 551
  • 552
  • 553
  • 554
  • 555
  • 556
  • 557
  • 558
  • 559
  • 560
  • 561
  • 562
  • 563
  • 564
  • 565
  • 566
  • 567
  • 568
  • 569
  • 570
  • 571
  • 572
  • 573
  • 574
  • 575
  • 576
  • 577
  • 578
  • 579
  • 580
  • 581
  • 582
  • 583
  • 584
  • 585
  • 586
  • 587
  • 588
  • 589
  • 590
  • 591
  • 592
  • 593
  • 594
  • 595
  • 596
  • 597
  • 598
  • 599
  • 600
  • 601
  • 602
  • 603
  • 604
  • 605
  • 606
  • 607
  • 608
  • 609
  • 610
  • 611
  • 612
  • 613
  • 614
  • 615
  • 616
  • 617
  • 618
  • 619
  • 620
  • 621
  • 622
  • 623
  • 624
  • 625
  • 626
  • 627
  • 628
  • 629
  • 630
  • 631
  • 632
  • 633
  • 634
  • 635
  • 636
  • 637
  • 638
  • 639
  • 640
  • 641
  • 642
  • 643
  • 644
  • 645
  • 646
  • 647
  • 648
  • 649
  • 650
  • 651
  • 652
  • 653
  • 654
  • 655
  • 656
  • 657
  • 658
  • 659
  • 660
  • 661
  • 662
  • 663
  • 664
  • 665
  • 666
  • 667
  • 668
  • 669
  • 670
  • 671
  • 672
  • 673
  • 674
  • 675
  • 676
  • 677
  • 678
  • 679
  • 680
  • 681
  • 682
  • 683
  • 684
  • 685
  • 686
  • 687
  • 688
  • 689
  • 690
  • 691
  • 692
  • 693
  • 694
  • 695
  • 696
  • 697
  • 698
  • 699
  • 700
  • 701
  • 702
  • 703
  • 704
  • 705
  • 706
  • 707
  • 708
  • 709
  • 710
  • 711
  • 712
  • 713
  • 714
  • 715
  • 716
  • 717
  • 718
  • 719
  • 720
  • 721
  • 722
  • 723
  • 724
  • 725
  • 726
  • 727
  • 728
  • 729
  • 730
  • 731
  • 732
  • 733
  • 734
  • 735
  • 736
  • 737
  • 738
  • 739
  • 740
  • 741
  • 742
  • 743
  • 744
  • 745
  • 746
  • 747
  • 748
  • 749
  • 750
  • 751
  • 752
  • 753
  • 754
  • 755
  • 756
  • 757
  • 758
  • 759
  • 760
  • 761
  • 762
  • 763
  • 764
  • 765
  • 766
  • 767
  • 768
  • 769
  • 770
  • 771
  • 772
  • 773
  • 774
  • 775
  • 776
  • 777
  • 778
  • 779
  • 780
  • 781
  • 782
  • 783
  • 784
  • 785
  • 786
  • 787
  • 788
  • 789
  • 790
  • 791
  • 792
  • 793
  • 794
  • 795
  • 796
  • 797
  • 798
  • 799
  • 800
  • 801
  • 802
  • 803
  • 804
  • 805
  • 806
  • 807
  • 808
  • 809
  • 810
  • 811
  • 812
  • 813
  • 814
  • 815
  • 816
  • 817
  • 818
  • 819
  • 820
  • 821
  • 822
  • 823
  • 824
  • 825
  • 826
  • 827
  • 828
  • 829
  • 830
  • 831
  • 832
  • 833
  • 834
  • 835
  • 836
  • 837
  • 838
  • 839
  • 840
  • 841
  • 842
  • 843
  • 844
  • 845
  • 846
  • 847
  • 848
  • 849
  • 850
  • 851
  • 852
  • 853
  • 854
  • 855
  • 856
  • 857
  • 858
  • 859
  • 860
  • 861
  • 862
  • 863
  • 864
  • 865
  • 866
  • 867
  • 868
  • 869
  • 870
  • 871
  • 872
  • 873
  • 874
  • 875
  • 876
  • 877
  • 878
  • 879
  • 880
  • 881
  • 882
  • 883
  • 884
  • 885
  • 886
  • 887
  • 888
  • 889
  • 890
  • 891
  • 892
  • 893
  • 894
  • 895
  • 896
  • 897
  • 898
  • 899
  • 900
  • 901
  • 902
  • 903
  • 904
  • 905
  • 906
  • 907
  • 908
  • 909
  • 910
  • 911
'
运行

其中第284行为:

#c.NotebookApp.password = ''
  • 1
'
运行

将之前生成好的加密密码复制过来,即改成如下形式

c.NotebookApp.password = 'sha1:c018cb5b13a0:7b945869a95654d657655c9bb909d7a90112e843'
  • 1

保存该配置文件并退出到docker容器中。这里需要指出,由于jupyter版本的不一致等因素,你的配置文件不一定和我的一样在284行,但是你应该找到的是#c.NotebookApp.password = ''这一段,将这个模板前的注释符取消既可以了。

然后,继续更改以下配置:
允许所有域名:

c.NotebookApp.allow_origin='*'
  • 1

允许远程:

c.NotebookApp.allow_remote_access = True
  • 1

指定默认启动目录(根据你的需求填写目录):

c.NotebookApp.notebook_dir = '/home/jupyterstart'
  • 1

启动后不打开浏览器

c.NotebookApp.open_browser = False
  • 1

接下来,就到了启动Nginx的时候了:

输入exeit命令退出容器(系统),即:

exit
  • 1

好了,现在你要做的就是重新启动这个docker容器(注意替换成你自己系统上刚刚做的容器ID号):

docker stopc229f9b659fb
  • 1
docker start c229f9b659fb
  • 1

再次进入该容器

docker exec -it c229f9b659fb /bin/bash
  • 1

在这个容器中,由于tensorflow官方已经帮我们配置过,jupyter服务将自动启动。因此紧接着,我们只需要启动作为反向代理的Nginxf服务器:

nginx -c /etc/nginx/nginx.conf 
  • 1

退出容器:

exit
  • 1

这样,在云服务器中就假设好了一台juyter服务器,现在我们变可以打开浏览器,输入我们的域名地址或者服务器的ip地址,如我的域名(域名需要购买并在注册局等级注册,同时在域名供应商设置解析到自己服务器的ip地址才可以使用。域名只是相当于ip地址的助记符,没有的话直接在浏览器输入公网服务器ip也是一样的):

jcstdio.cn
  • 1

第一次打开后的页面,由于没有登录过,浏览器cookie也不会由历史的密码信息,肯定是需要输入密码的。你看到的juputer登陆页面大概是这个样子的:
在这里插入图片描述
输入你设置的密码。注意不是经过编码加密后的密码,而是之前你设置时输入了两次才确认的原始密码。输入完成后将进入到jupyetr web的主页:
在这里插入图片描述
与你自己取安装jupyetr不同,这里已经配置好了tensorflow开发所需要的所有依赖包以及tensorflow本身。同时你可以注意到,这里有一个tensorflow-tutorials文件夹。打开它:
在这里插入图片描述
如你所见,里面的是tensorflow官方入门的经典案例。

另外,在python界混的人早早晚晚需要自己去添加一些库,每次远程登录Linux宿主机再进入docker的容器中的Linux系统以使用命令进行包管理难免不方便。这里也给大家介绍两种我常用的方法。

  • 方法一:需要时,直接在代码中安装。
    比如假装我想安装一个sklearn。先打开一个jupyter notebook,输入以下代码即可:

    import os
    os.sys("pip3 install sklearn")
    
    • 1
    • 2
  • 方法二:在jupyter中打开终端。
    这个看起来很向开头的 BAIDU AISTDIO。步骤如下:
    (1)打开终端:在这里插入图片描述
    (2)在这里,你可以直接对docker中的系统运行bash命令。比如使用pip工具进行安装。
    在这里插入图片描述
    还是以安装sklearn为例:
    输入pip3 install sklearn
    在这里插入图片描述
    可以看到,由于没有给docker里ubuntu系统的python配置国内源,下载速度还是有点慢的。

最后作为补充,再教大家如何在Linux系统中将python源设置为国内源吧,这次我们以豆瓣源为例:

依次执行以下命令:

mkdir ~/.pip
  • 1
cd ~/.pip
  • 1
vim pip.conf
  • 1

编辑pip.conf文件内容如下:

★豆瓣源(推荐):

[global]
timeout = 6000
index-url = http://pypi.douban.com/simple
trusted-host = pypi.douban.com
  • 1
  • 2
  • 3
  • 4

保存并退出,你将拥有更快的速度。

另外,还有一些比较常用的源。如:

★阿里源(推荐):

[global] 
timeout = 6000
index-url = http://mirrors.aliyun.com/pypi/simple/ 
trusted-host=mirrors.aliyun.com 
  • 1
  • 2
  • 3
  • 4

国内源首选阿里源或者豆瓣源。虽然有些高校也架设了服务器同步了Pypi镜像,但作为开发者一般不推荐使用高校源。不过以下也为想试试同学精选列了一些。

中科大源(不推荐)

[global]
timeout = 6000
index-url = http://pypi.mirrors.ustc.edu.cn/simple/
trusted-host = https://pypi.tuna.tsinghua.edu.cn
  • 1
  • 2
  • 3
  • 4

清华源(不推荐):

[global]
timeout = 6000
index-url = https://pypi.tuna.tsinghua.edu.cn/simple
trusted-host = https://pypi.tuna.tsinghua.edu.cn
  • 1
  • 2
  • 3
  • 4

还有其它的国内源,只要按照上面的格式将统一资源定位符(url)进行相应的修改即可。

搜狐源

http://mirrors.sohu.com/Python/
  • 1

V2EX

pypi.v2ex.com/simple
  • 1

北京外果语大学源

http://pypi.mirrors.ustc.edu.cn/
  • 1

华中理工大学

http://pypi.hustunique.com/
  • 1

山东理工大学

http://pypi.sdutlinux.org/
  • 1
声明:本文内容由网友自发贡献,不代表【wpsshop博客】立场,版权归原作者所有,本站不承担相应法律责任。如您发现有侵权的内容,请联系我们。转载请注明出处:https://www.wpsshop.cn/w/你好赵伟/article/detail/829990
推荐阅读
相关标签
  

闽ICP备14008679号