Running Jupyter Notebooks with Remote Conda Environments via Visual Studio Code Simplifying your development workflow across environments Working with Jupyter notebooks across different environments can be tricky, especially when you want the convenience of your preferred local editor with the power of remote compute resources. At EMBL we provide a Visual Studio Code (VSCode) server instance on demand that can be helpful to handle this situation. The Challenge Imagine you have a Jupyter notebook stored on a remote server and want to run it using VSCode on your local laptop.