How to use conda environments in ERISXdl job submissions There are differences between conda and pip in how it handles conflicts, why we recommend to stay with conda but some packages are only available using pip. Pip is as well a package management system, mainly for python. Other programs/packages can be installed as well: (env_name)$ conda install įor python programs, pip is available within the conda environment too: (env_name)$ pip install

Once the environment is activated, the installed packages will be taken from the environment not from the general system. The environment can then be activated by: $ conda activate This would create an environment with python version 3.8, with the pandas and numpy libraries installed.It will take some time to create the environment and you might be asked to confirm the installation. To specify specific programs or versions you can add them at this point: $ conda create -n python=3.8 numpy pandas This will create an environment with the base settings. To create an environment use: $ conda create -n For versions >=4.4, you will need to also run the following command, and then logout and back in to fully initialize conda: $ conda init bash Anaconda can be loaded for the first time via the module files: $ module load anaconda/ ERISXdl pulls from the existing ERISTwo modules, and can any of the available Anaconda modules there. How to use anaconda in any ERIS HPC environmentĪnaconda is installed in multiple versions on the system. However, unlike containers, the package still has access to the overall system and system tools. The porous of a virtual environment is to provide everything a project needs in terms of dependencies and applications, without interfering with other installations on the computer system.

As Python packages can have very complicated dependencies, that might be in conflict with other applications, conda allows to create virtual environments. Most data science and machine learning packages can be obtained from anaconda.Ī main component of Anaconda is the package management system conda that allows to download packages and ensures that dependencies are meet. Access, Account and Password ManagementĪnaconda is a distribution of the Python and R programming languages for scientific computing ( data science, machine learning applications, that aims to simplify package management and deployment.

Conda