The value for '-name' is used by Jupyter internally. Python -m ipykernel install -user -name projectName -display-name 'Python Project Name' This will create the 'virtenvs' directory if it doesn’t exist. Create a virtual environment called 'projectName' inside the directory 'virtenvs'. Click Terminal in order to start a Terminal session.Ĥ. In the top right corner of your IDAS home page, click New.ģ. If you are a student in a class that uses Python in IDAS, follow the instructions here to access your class instance.Ģ. Create a Python virtual environmentġ. First, create an IDAS instance with Python. For more general information about conda, see the Conda User Guide. Please see the Conda Wiki article for more information about using conda in IDAS. For more general information about using Python virtual environments, please see the Python Packaging User Guide and the Python Tutorial.Īside: You can also use conda to manage packages and environments for any programming language. This article illustrates creating a Python virtual environment in IDAS.

For this reason, virtual environments are helpful especially if you have multiple ongoing projects that require different versions of Python packages. You can create a Python virtual environment for each of your projects. If you make changes to one of your Python virtual environments, your other environments are not affected. We strongly encourage using virtual environments to manage your projects.