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Install Conda and deploy Jupyter in an Ubuntu, x64 environment
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#!/usr/bin/env bash | |
# Install any necessary packages with apt-get | |
sudo apt-get install -y curl wget | |
# Get installer | |
curl https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh \ | |
--output miniconda_installer.sh | |
# Run installer | |
bash miniconda_installer.sh -b | |
# Add conda to path, reload | |
echo 'PATH="/root/miniconda3/bin:$PATH"' >> ~/.bashrc | |
. .bashrc | |
# make environment for notebook | |
# and enter it | |
conda create -n nbk_env python=3.5 jupyter pandas numpy scipy scikit-learn matplotlib seaborn | |
source activate nbk_env | |
# Update conda, add conda-forge | |
conda config --add channels conda-forge | |
# Install some packages that might be missing. | |
conda install -y tqdm | |
# Generate notebook config | |
jupyter notebook --generate-config | |
# set up password: | |
# 1. Get a password from the command line | |
nbookpass=$(python -c "from notebook.auth import passwd; print(passwd())") | |
# 2. set up a certificate | |
mkdir certs | |
cd certs | |
certdir=$(pwd) | |
openssl req -x509 -nodes -days 365 -newkey rsa:1024 -keyout mycert.key -out mycert.pem | |
# 3. Save the password and cert to the notebook configuration | |
cd ~ | |
sed -i "1 a\ | |
c = get_config()\\ | |
c.NotebookApp.certfile = u'$certdir/mycert.pem'\\ | |
c.NotebookApp.ip = '*'\\ | |
c.NotebookApp.open_browser = False\\ | |
c.NotebookApp.password = u'$nbookpass'\\ | |
c.NotebookApp.port = 8888" .jupyter/jupyter_notebook_config.py | |
# Install some helper packages for the notebook | |
conda install -y jupyter_nbextensions_configurator nbbrowserpdf nbpresent | |
pip install jupyter_qtconsole_colorschemes # will be merged with the previous line once in conda-forge | |
# exit environment | |
source deactivate |
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