MINICONDA VS ANACONDA PYTHON INSTALL
MINICONDA VS ANACONDA PYTHON UPDATE

If you would like to add to this FAQ, or are unable to resolve your problem, please email us at help. The Python and conda FAQ may assist you to independently solve Python related problems on M3. Python and conda: Frequently Asked Questions (FAQ) # There are other tools available to access Python on M3.

Subject to change, so please specify which version of Python you want to use to ensure reproducibility. You will need to repeat the module load command each time you start a new shell. # To see which modules you already have loaded # To see which python modules are available To see the versions of Python available as a module on M3, use the command module avail python: If you require additional Python packages, we recommend you consider a Miniconda,Īnaconda, or virtual environment installation of Python which you can customise.

MINICONDA VS ANACONDA PYTHON UPDATE

If each and every user was able to pip update the Python modules that they use, repeatability and management of these modules would be impractical.

MINICONDA VS ANACONDA PYTHON INSTALL

Each module will contain a standard set of Python packages installed using pip.Īs a user, you are unable to update or install your own Python packages into the supplied Python modules on MASSIVE. M3 has a number of different versions of Python installed as modules. You may find virtual environments offer everything you need, or prefer conda for its additional features. The difference between a virtual environment and a conda install is that conda will manage your packages and environments,Īnd allows you to use languages other than Python. You are able to have multiple virtual environments, each with different packages installed pip will manage the packages.ĭetailed instructions to set up a virtual environment are found at Running Python Virtual Environments on M3. A Python virtual environmentĮffectively creates your own copy of Python, allowing you to install any Python packages you require. M3 offers static Python builds which can be used to create a virtual environment (venv). You may consider using a virtual environment if you don’t need an environment manager and only intend to use Python. Anaconda (conda) #Īnaconda allows you to manage multiple Python environments with conda.ĭetailed instructions to install Anaconda are found at Running Anaconda on M3.Īnaconda installs more initial packages than Miniconda, and we do not provide an installation script for Anaconda.

You may consider using Anaconda instead if you want more packages upon installation. Using our Miniconda install script also ensures that if you need any assistance, our team has more clarity on how best to help. Miniconda installs a reduced set of initial packages, ensuring you only install Installing Miniconda using our script automatically creates an environment called jupyterlab whichĬan be used with the JupyterLab option in Strudel2.

We provide a user-friendly script to install your own copy of Miniconda on M3, minimising installation difficulty. Miniconda is our preferred Python install method on M3 because: Miniconda allows you to manage multiple Python environments with conda.ĭetailed instructions to install Miniconda on M3 can be found at Running Miniconda on M3. Please use one of the methods listed below. You should NOT use the default system Python.

Miniconda vs anaconda python