Editing CommunityData:Hyak

From CommunityData

Warning: You are not logged in. Your IP address will be publicly visible if you make any edits. If you log in or create an account, your edits will be attributed to your username, along with other benefits.

The edit can be undone. Please check the comparison below to verify that this is what you want to do, and then publish the changes below to finish undoing the edit.

Latest revision Your text
Line 104: Line 104:
We recently switched to using Anaconda to manage Python on Hyak.  Anaconda comes with the `conda` tool for managing python packages and versions. Multiple python environments can co-exist in a single Anaconda installation, this allows  different projects to use different versions of Python or python packages, which can be useful for maintaining projects that use old versions.  
We recently switched to using Anaconda to manage Python on Hyak.  Anaconda comes with the `conda` tool for managing python packages and versions. Multiple python environments can co-exist in a single Anaconda installation, this allows  different projects to use different versions of Python or python packages, which can be useful for maintaining projects that use old versions.  


By default, our shared setup loads a conda environment called `minimal_ds` that provides recent versions of python packages commonly used in data science workflows.  This is probably a good setup for most use-cases, and allows everyone to use the same packages, but it can be even better to create different environments for each project.  See the [https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-with-commands anaconda documentation for how to create an environment].
By default, our shared setup loads a conda environment called `minimal_ds` that provides recent versions of python packages commonly used in data science workflows.  This is probably a good setup for most use-cases, and allows everyone to use the same packages, but it can be even better to create different environments for each project.  See the [https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-with-commands anaconda documentation for how to create an environment].  
 
To learn how to install Python packages, see the [[CommunityData:Hyak software installation#Python packages|Python packages installation instructions]] on this wiki.


=== SSH into compute nodes ===  
=== SSH into compute nodes ===  
Please note that all contributions to CommunityData are considered to be released under the Attribution-Share Alike 3.0 Unported (see CommunityData:Copyrights for details). If you do not want your writing to be edited mercilessly and redistributed at will, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource. Do not submit copyrighted work without permission!

To protect the wiki against automated edit spam, we kindly ask you to solve the following CAPTCHA:

Cancel Editing help (opens in new window)

Templates used on this page: