Installing Jupyter Notebook (Offline mode)

Use the following steps to install Jupyter Notebooks in an offline environment.

Procedure

Do the following steps using an online server:
1. As the root user, run the following command to install the Python virtual environment.
```
/usr/local/bin/pip3.5 install virtualenv
```
2. Run the following command to create and activate a virtual environment.
```
virtualenv jup_env
```
```
. ./jup_env/bin/activate
```
  Note: Ensure that you include the 2 periods in the command.
  
  The cursor prompt changes to show that all further changes will affect the virtual environment.
  
  (jup_env) [root@ ~]#
  
  You can exit the virtual environment by entering the following command:
```
deactivate
```
3. Create the offline installation directory.
```
mkdir ./jup_env/jupyterinstall
```
4. Create a text file that is named constraints.txt and includes the following entries:
```
backcall==0.1.0
bleach==1.5
html5lib==0.9999999
parso==0.3.1
```
5. Download the required packages to the offline folder.
```
pip3.5 download -d ./jup_env/jupyterinstall jupyter==1.0.0 -c constraints.txt
```
  Note: This step uses the virtual environment instance of pip3.5. Do not change to /usr/local/bin/pip3.5.
6. Compress the offline installation directory.
```
tar -czvf jupyterinstall.tar.gz ./jup_env/jupyterinstall
```
7. Copy the compressed file to the offline server.
```
scp jupyterinstall.tar.gz root@<offline_host>:/home/sifsuser/
```
8. Exit the virtual environment.
```
deactivate
```
Do the following steps using the offline server:
1. Log in to the offline server as the root user.
2. Decompress the offline installation folder.
```
cd /home/sifsuser
```
```
tar -xzvf /home/sifsuser/jupyterinstall.tar.gz
```
3. Install Jupyter.
```
/usr/local/bin/pip3.5 install --no-index --find-links=/home/sifsuser/jup_env/jupyterinstall/ jupyter
```
  Note: The command is all that is required to install Jupyter and its dependencies. In addition, there is a requirements.txt file in the /home/sifsuser/jupyterinstall directory in case an itemized list or a version controlled list of Python packages is required.