Save this file and rename it whatever you like it to. Once you click on the “convert and save to a Python script”, VS code editor will open up a new file. Click on the “convert and save to a Python script” option located at the top of the Editor view. Once we set this up, the final view will look like this: Confused? This is the Python Interactive window. One of the finest features of the Python VS Code extension is the hybrid approach to use Jupyter notebook and a Python script. Python Interactive – Mix of Jupyter Notebook & Python Script The VS Code Jupyter integration is loaded with a lot of features. Note the format of the file once you save it, it will be. Press CNTRL+S button simultaneously using your keyboard. Now, we will save our Jupyter notebook in our desired directory. The output of the code cell will appear just below the code cell. To run this code, click on the green run icon next to the cell. In the integrated VS Code terminal, run both the commands one by one: Here is a fix taken from official VS Code Python extension. One thing is to note that, you may see a pop up saying “Error: ‘Kernelspec’ module not installed in the selected interpreter (). Next, click on “Yes” prompt where it says “Data Science library ipykernel is not installed. You will also get two pops, one of which says, “Data science libraries notebook and jupyter not installed”. This means Jupyter library is currently not installed inside WSL. The top right of the VS Code UI says “Jupyter server: Not started”. Once connected, the first view should look like this: Clicking on it should load Python extension if not loaded before. Enter Python: Create New Blank Jupyter Notebook and select it from the dropdown. This will bring up a dropdown view in the VS Code Editor view. Now, press CNTRL+SHIFT+P button simultaneously using your keyboard. This will automatically open the Remote WSL. Here is the quickest way to open VS Code integrated terminal inside Windows Subsystem for Linux (WSL). If you have followed my WSL guide, you would have seen the Ubuntu terminal by now. We will set up our Jupyter environment by creating a new Jupyter Notebook. I am using the former – Windows Subsystem for Linux (WSL) on Windows plus VS Code. To set up your environment, you can either use a combination of WSL and VS Code, or Windows 10 with VS Code. Set up our environment – Create a Jupyter Notebook The post is written exclusively for beginners in tech. This blog post is a step-by-step guide to set up and use Jupyter Notebook in VS Code Editor for data science or machine learning on Windows.
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