Create a Python environment and install the Jupyter module.Install the necessary Jupyter notebook extensions.It only takes five simple steps to get Jupyter notebooks running inside Visual Studio Code. One downside is that the web interface for Jupyter notebooks lacks some features (like autocomplete, seamlessly changing between Python environments, etc.) that are common with IDEs (like VSC)

I don’t always use Jupyter notebooks, but they are quite useful for sharing Python code and results ( check out this article for more ways to run Python code in VSC). One awesome Visual Studio Code feature is that it integrates very nicely with Jupyter notebooks, which is the way many programmers like to present Python code and analysis. It works well for almost any programming language, has an intuitive layout, can be customized and extended with extensions, and (most importantly) it’s completely free. We can install both packages using command below.Over the past couple of years, Visual Studio Code (VSC) has become my favorite Python IDE and all-around code editor. findspark – this package will help us Spark installed on our machine to integrate with jupyter notebooks.jupyter – this package will help us use jupyter notebooks inside visual studio code.There are two packages that we need to install. Next thing will be to install required python packages on our system. visual studio code – Python extension Required Python Packages Once you have installed visual studio code, open it and search for python extension and install it. It is free to download and easy to set up. Setting Up Visual Studio Codeįirst thing we will need is visual studio code installed on our machine. I like to use visual studio code as its lightweight, have a lot of good extensions and we do not need another IDE just for working with notebooks. We can use Jupyter notebooks from Anaconda or we can use them inside Visual studio code as well. That is why, in this blog, we are going to learn how to use spark with Jupyter notebook. It won’t save our commands, fixing errors in console is much difficult, and it does not have any intellisense. But when we are working, this is not the ideal way. We can access spark from console or command prompt. In last blog we had set up spark on our machine.

Visual studio code jupyter notebook