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#!/bin/bash
# Disable password authentication
sudo grep -q "ChallengeResponseAuthentication" /etc/ssh/sshd_config && sed -i "/^[^#]*ChallengeResponseAuthentication[[:space:]]yes.*/c\ChallengeResponseAuthentication no" /etc/ssh/sshd_config || echo "ChallengeResponseAuthentication no" >> /etc/ssh/sshd_config
sudo grep -q "^[^#]*PasswordAuthentication" /etc/ssh/sshd_config && sed -i "/^[^#]*PasswordAuthentication[[:space:]]yes/c\PasswordAuthentication no" /etc/ssh/sshd_config || echo "PasswordAuthentication no" >> /etc/ssh/sshd_config
sudo service ssh restart

# Install latest Docker
sudo apt-get update
sudo apt-get -y install linux-image-extra-$(uname -r)
sudo sh -c "wget -qO- https://get.docker.io/gpg | apt-key add -"

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Summary

nbconvert has a preprocessor that clears cell outputs from notebook files, leaving cell inputs intact.

Example

The following shell command reads my_input_notebook.ipynb, removes its cell outputs, prints the cleaned notebook to stdout, and redirects that output to a new notebook file named my_output_notebook.ipynb.

jupyter nbconvert my_input_notebook.ipynb --to notebook --ClearOutputPreprocessor.enabled=True --stdout > my_output_notebook.ipynb

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Summary

JupyterLab and Jupyter Notebook can display HTML-embedded images in notebook documents. You can use the IPython.display.HTML class to structure these images into a basic image gallery.

Example

The notebook below defines a gallery() function that accepts a list of image URLs, local image

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Summary

Many modern web browsers provide a speech synthesis API for JavaScript. You can write and invoke a function to have your notebook speak when it finishes executing certain cells, whether you're running it in JupyterLab (>=0.34) or classic Jupyter Notebook.

def speak(text):
    from IPython.display import Javascript as js, clear_output
 # Escape single quotes

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user www-data;
worker_processes 1;
daemon off;

events {
  worker_connections  1024;
}

http {
  upstream docker-registry {

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Summary

IPython shell assignment (the ! operator) evaluates a command using the local shell (e.g., bash) and returns a string list (IPython.utils.text.SList). An SList is a list-like object containing "chunks" of stdout and stderr, properties for accessing those chunks in different forms, and convenience methods for operating on them.

Example

The SList.ipynb notebook below uses SList properties to access the output of a shell command as a list-like of strings, a newline-separated string, a space-separated string, and a list of pathlib.Path objects. The notebook then uses the SList.fields() and SList.grep() methods to extract columns from and search command output.

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Summary

You can associate a Console panel and kernel with a text editor in JupyterLab, and use it to execute selected code, RStudio style.

1. Create or open a text source file in JupyterLab.
2. Right click in the text editor panel.
3. Click Create Console for Editor.
4. Select a kernel matched to the programming language you want to execute in the file.
5. Notice the Console panel that appears.
6. Highlight one or more lines back in the text editor you'd like to run.

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body {
  font-family: 'Helvetica Neue', sans;
  background: #ffffff;
  color: #222;
  margin: 2em auto;
  padding: 0 2em;
  width: 48em;
  line-height: 1.5em;
  font-size: 16px;
  font-weight: 300;