Description
Python data-science projects can be developed in a JetBrains IDE focused on notebooks, datasets, environments, and analysis workflows. This is useful for data scientists who want an integrated desktop workspace.
Data-science IDEs can connect to databases, notebooks, and remote interpreters that hold sensitive data. Review project trust, credentials, package execution, and shared notebooks before opening unknown workspaces.