If you don’t have already have an environment, you can create one with Anaconda using two simple commands.įirst, create the environment. All you need is an environment with the jupyter module installed. Now that Visual Studio Code has the functionality to create and display Jupyter notebooks you need a Python environment to use for notebook development. Create a Python Environment and Install the Jupyter Module Extensions to run Jupyter notebooks in Visual Studio Code. If the required extensions are already installed, you can skip this step. Jupter Notebook Renderers (author: Microsoft)Įxtensions can be installed by opening the Extensions panel (click the Extensions button on the left side of VSC or press Ctrl + Shift + X), searching for the extension you wish to install, the clicking the install button.Once you have VSC installed you’ll just need to install a few extensions for VSC to support Jupyter notebooks.
Install VSC Extensions to Enable Jupyter Notebooks You can keep all the default installation settings. Just go to the download page, download the appropriate installer, then follow the installer prompts to complete the installation. You’ll obviously need VSC installed before you can use it to create Jupyter notebooks.
This tutorial will demonstrate how to start working with Jupyter notebooks in VSC.
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. Over the past couple of years, Visual Studio Code (VSC) has become my favorite Python IDE and all-around code editor.
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