Conda as a package manager helps you find and install packages. If you need a package that requires a different version of Python, you do not need to switch to a different environment manager, because conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in your normal environment.
Using different conda environments for different projects/applications is highly recommended and certainly offers many advantages:
- conda environments integrate management of different Python versions, including installation and updating of Python itself. On comparison, virtualenvs must be created upon an existing, externally managed Python executable.
- conda environments can track non-python dependencies; for example seamlessly managing dependencies and parallel versions of essential tools like LAPACK or OpenSSL
- Rather than environments built on symlinks – which break the isolation of the virtualenv and can be flimsy at times for non-Python dependencies – conda-envs are true isolated environments within a single executable path.
On the login node run:
module load anaconda3/personal
if its the first time loading you will need to run:
Conda basic commands
|Get a list of all my environments, active environment is shown with *||conda env list|
|Create a new environment named py27, install Python 2.7||conda create -n py27 python=2.7|
|activate an environment||source activate ENV_NAME|
|List all packages and versions installed in active environment||
|Search the Anaconda repository for a package||conda search PACKAGENAME|
|Install a package included in Anaconda||conda install PACKAGENAME|
For a full list of commands please look at the conda cheat sheet provided by Anaconda.