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Data science development largely revolves around working in notebooks, and these usually run in a cluster environment. These cloud notebooks do however come with limitations. Support for tools like version control, testing, refactoring and linting is limited, which negatively impacts developer experience and software quality. We propose a networked file system for sharing local files and director
