Lesson 9: NETCONF and YANG

Lab: YANG (Yet Another Next Generation)

YANG is a data modeling language for the definition of data sent over network management protocols such as the NETCONF. It is a modular language representing in an XML tree format. The language is protocol independent and can also be converted into JSON.

To get started, pyang was installed on Raspberry Pi

$ sudo apt install libxml2-dev libxslt1-dev

$ sudo pip3 install -U lxml pyang

$ cp ~/iot/lesson9/intrusiondetection.yang ~/demo

$ cd ~/demo

$ pyang -f yin -o intrusiondetection.yin intrusiondetection.yang

$ pyang -f uml -o intrusiondetection.uml intrusiondetection.yang --uml-no=stereotypes,annotation,typedef

Next GIMP and Pinta (software) were installed on the Raspberry Pi, both of which are open-source image editors. These are alternatives to VNC Viewer and must have SSH and X11 forwarding.

$ cd

$ sudo apt update

$ sudo apt install gimp pinta

$ cd ~/demo

$ pinta intrusiondetection.png

$ gimp -h

$ gimp -a intrusiondetection.png

GIMP's image editor software comes loaded with a lot more features but it is also very slow. It took a while for the editor to load the png image and I could imagine editing photos would take astronomically long.

Bonus Lab: Qiskit

Qiskit is an open-source quantum computing software development framework founded by IBM Research to allow software development for the IBM Q Experience cloud quantum computing service.

A virtual Python environment was used to cleanly separate Qiskit from other applications running on my laptop. I created a minimal environment using the following Anaconda commands:

conda create -n name_of_my_env python=3

source activate name_of_my_env

pip install qiskit

In order to access IBM Quantum Systems, I had to create an IBM Quantum Experience Account, copy an API token from my Account and save it.

$ sudo pip3 install qiskit

$ sudo pip3 install qiskit-terra[visualization]

$ python3

>>> from qiskit import IBMQ

>>> IBMQ.save_account('MY_API_TOKEN')

>>> exit()

I experienced all sorts of problems setting up an entire new Python environment on my Windows machine that I decided to go with the alternative and create a new Qiskit notebook. It looks like it uses a Jupyter notebook in the background.