You want this because you want to isolate what you install from your global Python installation. The first step is creating a virtual environment. Details Step 1: Create a virtual environment This post also covers versions of step 2 for other shells. python -m pip install -upgrade pip if you wanted to install the latest version of pip (which you probably do)ĭo note that there is a fancier version of step 1 explained below. venv/bin/activate.fish (assuming you are using the fish shell) Activate the virtual environment, e.g.venv (substitute py -3.8 for python3.8 if necessary) If you just want to start poking at Python and want to avoid the pitfalls to installing packages globally, it only takes 3 steps to do the right thing. And while there is a tutorial on installing packages at, it might be a bit intimidating for some if they are just looking to quickly get up and going. Setup.py and run the install: python setup.When people start learning Python, they often will come across a package they want to try and it will usually start with "just pip install it!" The problem with that advice is it's a very simplistic view of how to manage packages and can actually lead to problems down the road. Or, if you have a requirements.txt file that lists necessary dependencies: pip install -user -r requirements.txt Installing via modules via setup.py to your home directoryĭownload and untar or unzip the module you would like to install.Ĭd into the module directory that contains Once you have configured your PYTHONPATH as described above, you can install packages locallyīy adding the -user flag when calling pip: pip install -user PACKAGE_NAME_HERE Installing modules via pip to your home directory Run this command to update the PYTHONPATH for the current session: source ~/.bash_profile PYTHONPATH="$PYTHONPATH:~/lib/python2.7/site-packages/" > ~/.bash_profile ~/lib/python2.7/site-packages/ like this: echo export These first two steps only need to be done once.Īppend your. This article assumes you are logged into a CETS managed Linux machine (Eniac, a lab machine, graduate workstation, etc). How do I install a Python module for use on Linux systems at SEAS?
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