Run JupyterLab on SAP BTP Cloud Foundry
What is Jupyter Notebook?
Jupyter Notebook is an open-source web application used to create and share documents that have live code, equations, visualizations, and text. It’s maintained by the Project Jupyter community. In 2014, Project Jupyter and Jupyter Notebook became spin-off projects from IPython and the IPython Notebook.
In addition to the Jupyter Notebook, there’s also JupyterLab, which is a web-based IDE for Jupyter Notebooks. It allows you to set up your user interface to support various workflows in machine learning, data science, scientific computation, and more. With JupyterLab, you can run terminals, text editors, and code consoles in your web browser. You can also create your own plugins.
JupyterHub is another offering from Project Jupyter. JupyterHub is a multi-user version of Jupyter Notebook, designed for teams, classrooms, and labs. The hub allows you to deploy your notebooks to your organization, scale your deployment with Docker and Kubernetes, and provide uniform data management and access within your company.
Jupyter Notebook is a popular computational notebook, with over 2.5 million public notebooks available on GitHub. It’s used for a variety of things, such as:
- Data analysis
- Data cleaning
- Data transformation
- Data visualization
- Machine learning
- Numerical simulation
- Statistical modeling
Let’s start deploying Jupyterlab to Cloud Foundry
Step 1 : Create a folder name Jupyter ( or any name you would prefer)
Step 2 : Go to Jupyter folder and create a file “Procfile” and Open & save below line
web: jupyter lab --ip 0.0.0.0 --port $PORT --no-browser
cf push jupyter-cf --random-route
Step 5 : run this below command, you need to get a generated token from the logs.
cf logs jupyter-cf --recent
The token above will be like highlighted in yellow box
Step 6 : To get your Cloud Foundry route: (example below)
$ cf app jupyter-cf name: jupyter-cf requested state: started routes: jupyter-cf-something-apple-kc.cfapps.eu10.hana.ondemand.com ...
Step 7 : When you open the URL in your browser, provide the token.
Step 8 : Get started with Jupyter
When we first create a new Jupyter Notebook, the first cell defaults to using code and the kernel we selected at the beginning. Since we started with Python 3, we can run Python code in our cells.
Let’s check it out! We can follow these steps:
”print(“SAP BTP”)into the first cell
- Select the cell
- Select “Run”
Here’s what our notebook should look like now:
We can use pip to install Jupyter Notebook using the following command: