Introduction

Package management of the analysis software that LCLS maintains for users is being transitions to conda, from RPM's. This software includes psana (the software LCLS develops for working with experiment data), hdf5, openmpi, and many python packages such as numpy, scipy, ipython and scikit-beam. Advantages of this transition include

• easier for LCLS to integrate and update new software for users
• easier for offsite users to install psana

User Documentation

Old Notes - to be removed - revised

 Conda based Psana in LCLS central install

Not recommended, and out of date, but here are notes on maintaining your own miniconda install that psana:

Adding Conda Packages to Self Managed Installation - for use outside LCLS or managing your own conda stack at LCLS
 

Internal Notes

There are a lot of JIRA issues that come off of this main ticket: PSRT-78 - Getting issue details... STATUS

There are two related github repositories:

test an installed conda environment: https://github.com/davidslac/test-lcls-conda-build-system

manage the conda installations and environments: https://github.com/davidslac/manage-lcls-conda-build-system

Try to keep content in this master page small and create new child pages for topics.