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CONDA PYTHON VERSION PINNED HOW TO
CONDA PYTHON VERSION PINNED ARCHIVE

If you choose “no” you’ll want to save this command so that you can reactivate the Miniconda installation when needed in the future. At the end, you can choose whether or not to “initialize Miniconda3 by running conda init?” The default is no you would then run the eval command listed by the installer to “activate” Miniconda. wget sh Miniconda3-latest-Linux-x86_64.shĪccept the license agreement and default options.

On the submit server, download the latest Linux miniconda installer and run it. In this approach, we will create an entire software installation inside Miniconda and then use a tool called conda pack to package it up for running jobs.

CONDA PYTHON VERSION PINNED HOW TO

This guide also discusses how to “pin” your conda environment to create a more consistent and reproducible environment with specified versions of packages.

Pre-Install Miniconda and Transfer to Jobs.

To use a Miniconda installation on OSG, create your installation environment on the submit server and send a zipped version to your jobs. To create the smallest, most portable Python installation possible, we recommend starting with Miniconda and installing only the packages you actually require.

Anaconda is a pre-built scientific Python distribution based on Miniconda that has many useful scientific packages pre-installed.

Miniconda is a slim Python distribution, containing the minimum amount of packages necessary for a Python installation that can use conda.

conda is a Python package manager and package ecosystem that exists in parallel with pip and PyPI.

The above is true and the software has a lot of dependencies. Your software has specific conda-centric installation instructions.

When should you use Miniconda as an installation method in OSG? The Anaconda/Miniconda distribution of Python is a common tool for installing and managing Python-based software and other tools.

CONDA PYTHON VERSION PINNED ARCHIVE

Check Size of Conda Environment Tar Archive Create a conda "Environment" With Your Packages