sudo apt-get update & sudo apt-get install virtualenv & pip install virtualenv.Make sure you have python and pip installed, if not you can follow this guide about installing python and pip. It works by making an exact copy of your Python interpreter binary (the python or python3) in a local directory where it is installed. Virtualenv is a CLI tool to manage python virtual environments that needs a python interpreter to run. You are working on two projects, Project A uses python version3.5 and Project B uses python version 3.8, in this case, you will need two virtual environments one of python3.5 and one of python3.8. (tensorflow)$ pip install tensorflow keras (use the 'module avail' command to view the list of python versions you can load it might be something like python/3.6) (note: python3 is an example, the actual module on the cluster you are using may be different) Example: Create a new environment, and install tensorflow and keras:.List installed python modules in the environment:.NOTE: It's always a good idea to update pip first:.Source /bin/activate Install Python Modules Using pipĪfter activating your virtual environment, you can now install python modules for the activated environment: Next you need to activate a virtual environment before using it: Note: if you are running on a machine that uses the module system to configure your computing environment, you might first need to load the desired python module to gain access to the version of python you'd like to run, e.g., via module load python/3.9.4. Users can create as many virtual environments, each in their own directory, as needed. Please see the documentation on virtual environments on for details.

Users can manage their own python environment (including installing needed modules) using virtual environments (works with python2 and python3). Manage Modules in Your Python Virtual Environment 1 Manage Modules in Your Python Virtual Environment.

Python virtualenv