Sliderules are a thing of the past, decent calculators are hard to get by these days and spreadsheets are somewhat cumbersome, at times outright dangerous or just not the right tool for many tasks. Project Jupyter not only revolutionizes data-heavy research in all domains - it also boosts personal productivity for problems on a much smaller scale.
This repository documents my efforts to set up and configure a Jupyter Notebook Server on a Raspberry Pi 2 or 3 complete with Python 3.6.1, fully functioning nbconvert and a basic scientific stack with version 4.0 or later of all components making up the brilliant Jupyter interactive computing environment.
- a Raspberry Pi 2 or 3 complete with 5V micro-usb power-supply
- a blank 16 GB micro SD card
- an ethernet cable to connect the Pi to your network in case you are not using wifi
- an internet connection
- a computer to carry out the installation connected to the same network as the Pi
- a fair amount of time - user feedback suggests that a full installation takes in the order of 6 hours...
Download the official Raspbian Jessie Lite image and transfer it to your SD card. Boot the Pi with the fresh image, log in (root password is raspbian and default user is pi) to set up timezone and locales and expand the filesystem using the raspi-config utility:
sudo raspi-config
Ensure that your installation is up to date and then use apt-get to install pandoc and git:
sudo apt-get update
sudo apt-get upgrade
sudo apt-get install -y pandoc
sudo apt-get install -y git
Set up new user jns (jns stands for jupyter notebook server) and add the new user to the groups sudo and ssh as we are going to use this user to perform the installation and later to start the server.
sudo adduser jns
sudo usermod -aG sudo,ssh jns
Reboot and log in as user jns via ssh. From the terminal run:
cd /home/jns
git clone https://github.com/kleinee/jns.git
cd jns
chmod +x *.sh
sudo ./install_jns.sh
This will create a directory notebooks in the home directory of user jns, clone this repository to get the installtion scripts, make the scripts executable and then run install_jns.sh which does the following:
- install Python
- install Jupyter
- (pre)-configure the notebook server
- install TeX
- install scientific stack
The script is nothing spectacular - just convenience to save us some typing. The next section briefly describes the individual steps.
#!/bin/bash
# script name: install_jns.sh
# last modified: 2017/03/05
# sudo: yes
if ! [ $(id -u) = 0 ]; then
echo "to be run with sudo"
exit 1
fi
# run scripts
./install_python.sh
./install_jupyter.sh
sudo -u jns ./configure_jupyter.sh
./install_tex.sh
./install_stack.sh
If everything goes to plan you end up with a fully functional Jupyter Notebook server!!! To start the server just run:
jupyter notebook
You should now be able to access the system from any browser on your network via the IP address of the Raspberry Pi on port 8888. The notebook server password* set during installation is jns. This can be changed if requirerd.
If you prefer a setp by step installation, execute the respective shell scripts in the order given below:
- To install Python run
install_python.sh
- To install TeX run
install_tex.sh
- To install Jupyter run
install_jupyter.sh
- To configure Jupyter run
configure_jupyter.sh
- To install scientific stack run
install_stack.sh
I turned Python install instructions I found on sowingseasons.com
into a script - unfortunately the link is dead now:
#!/bin/bash
# script name: install_python.sh
# last modified: 2017/08/16
# sudo: yes
#
# credit goes to the creator of sowingseasons.com
if ! [ $(id -u) = 0 ]; then
echo "to be run with sudo"
exit 1
fi
#Python 3 version to install
version="3.6.2"
#------------------------------------------------------
apt-get install -y build-essential libncursesw5-dev
apt-get install -y libgdbm-dev libc6-dev
apt-get install -y zlib1g-dev libsqlite3-dev tk-dev
apt-get install -y libssl-dev openssl
apt-get install -y libreadline-dev libbz2-dev
#------------------------------------------------------
wget "https://www.python.org/ftp/python/$version/Python-$version.tgz"
tar zxvf "Python-$version.tgz"
cd "Python-$version"
./configure
make
make install
pip3 install pip --upgrade
# clean up
cd ..
rm -rf "./Python-$version"
rm "./Python-$version.tgz"
We need TeX for notebook conversion to PDF format with nbconvert / pandoc.
#!/bin/bash
# script name: install_tex.sh
# last modified: 2017/03/05
# sudo: yes
if ! [ $(id -u) = 0 ]; then
echo "to be run with sudo"
exit 1
fi
#------------------------------------------------------
apt-get install -y texlive
apt-get install -y texlive-latex-extra
apt-get install -y dvipng
apt-get install -y texlive-xetex
#------------------------------------------------------
The developers made this step amazingly simple. The only minor issue that I came across was that IPython complained about missing readline upon first start. We adress this here by installing readline. We also install ipyparallel as it is not installed by default.
NOTE readline might no longer be required. Will adjust once I had time to test.
#!/bin/bash
# script name: install_jupyter.sh
# last modified: 2017/03/05
# sudo: yes
if ! [ $(id -u) = 0 ]; then
echo "to be run with sudo"
exit 1
fi
pip3 install jupyter
#------------------------------------------------------
apt-get -y install libncurses5-dev
apt-get -y install python-dev
#------------------------------------------------------
pip3 install readline
pip3 install ipyparallel
We generate a jupyter notebook configuration directory and in it a file called jupyter_notebook_config.py that holds the configuration settings for our notebook server. We also create a folder notebooks in the home directory of user jns as the notebook_dir for our server. In the notebook configuration file, we apply the following changes:
- we tell jupyter not to sart a browser upon start - we access the server from a remote machine
- we set the IP address to '*'
- we set the port for the notbook server to listen on to 8888 (which is the default)ebeboo
- we enable mathjax for rendering math in notebooks
- we set the notebook_dir to ~/notebooks, the directory we created
- we use the password hash for the default server password jns
NOTE: this setup still uses password authentication. If you prefer token-based authentication as introduced with notebook version 4.3.0 please check this blog post on on the official Jupyter website: http://blog.jupyter.org/2016/12/21/jupyter-notebook-4-3-1/
To change settings, just edit ./jupyter/jupyter_notebook_config.py to suit your needs.
#!/bin/bash
# script name: configure_jupyter.sh
# last modified: 2017/03/05
# sudo: no
if [ $(id -u) = 0 ]
then
echo "to be run as $(logname)"
exit 1
fi
# generate config and create notebook directory
# if notebook directory exists, we keep it (-p)
# if configuration file exeists, we overwrite it (-y)
jupyter notebook -y --generate-config
cd $home
mkdir -p notebooks
target=~/.jupyter/jupyter_notebook_config.py
# set up dictionary of changes for jupyter_config.py
declare -A arr
app='c.NotebookApp'
arr+=(["$app.open_browser"]="$app.open_browser = False")
arr+=(["$app.ip"]="$app.ip ='*'")
arr+=(["$app.port"]="$app.port = 8888")
arr+=(["$app.enable_mathjax"]="$app.enable_mathjax = True")
arr+=(["$app.notebook_dir"]="$app.notebook_dir = '/home/$(logname)/notebooks'")
arr+=(["$app.password"]="$app.password =\
'sha1:5815fb7ca805:f09ed218dfcc908acb3e29c3b697079fea37486a'")
# apply changes to jupyter_notebook_config.py
# change or append
for key in ${!arr[@]};do
if grep -qF $key ${target}; then
# key found -> replace line
sed -i "/${key}/c ${arr[${key}]}" $target
else
# key not found -> append line
echo "${arr[${key}]}" >> $target
fi
done
To enable the clusters tab in the notebook interface run:
sudo ipcluster nbextension enable
To enable ipywidgets run:
sudo jupyter nbextension enable --py --sys-prefix widgetsnbextension
The list of packages istalled here is just a suggestion. Feel free to adjust as needed.
#!/bin/bash
# script name: install_stack.sh
# last modified: 2017/07/21
# sudo: yes
if ! [ $(id -u) = 0 ]; then
echo "to be run with sudo"
exit 1
fi
#------------------------------------------------------
apt-get -y install libxml2-dev libxslt-dev
apt-get -y install libblas-dev liblapack-dev
apt-get -y install libatlas-base-dev gfortran
#------------------------------------------------------
pip3 --no-cache-dir install matplotlib
pip3 install sympy
pip3 install cython
pip3 install pandas
pip3 install numexpr
pip3 install bottleneck
pip3 install SQLAlchemy
pip3 install openpyxl
pip3 install xlrd
pip3 install xlwt
pip3 install XlsxWriter
pip3 install beautifulsoup4
pip3 install html5lib
pip3 install lxml
pip3 install requests
pip3 install networkx
pip3 install plotly
pip3 install numpy
pip3 install scipy
Occasionally you may want to check for software updates for both the operating system and the python python packages we installed.
sudo apt-get update
sudo apt-get upgrade
List outdated packages and if there are any, update them individually. Here we assume that package xyz is to be updated after the check:
pip3 list --outdated --format='legacy'
sudo pip3 install xyz --upgrade
The script below automates the process: It genereates a list of outdated (pip3 installed) packages and subsequently processes the list to conduct upgrades.
#!/bin/bash
# script name: upgrade_jns.sh
# last modified: 2017/03/05
# sudo: yes
if [ $(whoami) != 'root' ]; then
echo "Must be root to run $0"
exit 1;
fi
# generate list of outdated packages
echo ">>> CHECKING INSTALLATION FOR OUTDATED PACKAGES..."
lst=(`pip3 list --outdated --format='legacy' |grep -o '^\S*'`)
# process list of outdated packages
if [ ${#lst[@]} -eq 0 ]; then
echo ">>> INSTALLATION UP TO DATE"
exit 1;
else
echo ">>> UPGRADING PACKAGES"
for i in ${lst[@]}; do
pip3 install ${i} --upgrade
done
fi
To regenerate host keys, delete the old keys and reconfigure openssh-server. It is safe to run the commands over remote ssh based session. Your existing session shouldn't be interrupted:
sudo rm /etc/ssh/ssh_host*
sudo dpkg-reconfigure openssh-server