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Press Control+Alt+S to open the IDE settings and then select Project: workspace | Python Interpreter. Switch the virtual environment in the IDE settings Just click it and select the target interpreter: It is the most convenient and quickest way to switch the Python interpreter. The Python Interpreter selector is located on the status bar. Switch the virtual environment using the Python Interpreter selector Configuring an existing virtual environmentĪt any time, you can switch the virtual environment either by using the Python Interpreter selector or in Settings. To preview a configured Python environment, modify its settings, and update packages, press Control+Alt+S and go to Project: workspace | Python Interpreter. You can select any other Python environment on your machine or create a new one. In most cases, it is a conda environment based on your Anaconda installation. When you attach a directory to the workspace or open a project, the IDE creates a virtual environment for you. With DataSpell, you can also configure interpreters to execute your notebooks on remote managed Jupyter servers by using SSH, or WSL (only for Windows). A virtual environment consists of a base interpreter and the installed packages. You can also create a Virtualenv, pipenv, Poetry, or conda virtual environment. You can use a system interpreter that is available with your Python installation. To execute notebooks or Python code in DataSpell, you need to configure at least one virtual environment based on a Python interpreter.
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