Setting Up a VS Code Development Environment with Dev Containers

Background

In this article, I wrote about setting up a Python development environment that utilizes a GPU by connecting via SSH from my local VS Code to a Docker container running on a GPU-equipped remote workstation. Although I initially set it up on my own, I wondered if there might be room for improvement, so I’ll discuss how I used generative AI to enhance it.

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Connecting to a Python development environment in a remote Docker container from VSCode

Motivation

Until now, I’ve been launching JupyterLab containers on a remote workstation equipped with a GPU, connecting via browser from my local MacBook Air to develop Python code. For example, see this article. Recently, since I’ve been using VSCode frequently, I tried connecting to the same Python development environment on the GPU-equipped remote workstation from VSCode.

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