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Introduction

This document explains how to jump-start the analysis environment on a laptop using a virtual machine (VM) image. The recipe would work as well for any other hardware (desktop, server). In this document we're exploring a technology based on Oracle VM VirtualBox. The main benefit of the software is that it's stable and it's free. Besides, it's easy to set up. The software is available for all popular platforms, including Linux (all distributions), Windows 7/8, MacOS, or Solaris. However a similar approach would work as well for other hypervisors, such as Parallels, VMware, etc. They all would recognize a format of the packaged VM images which we're exporting here.

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We suggest using the latest analysis release. You can find a list of most recent releases in the Pre-Conda Release Notes. Note that not all of them would be packaged into the virtual images. Also note that not all platforms which we generally support at LCLS may be represented in the above mentioned collection of virtual images. For instance, we can't redistribute images based on RHEL because this is a proprietary Linux distribution. Instead of that we replace RHEL systems with the corresponding versions of the CentOS distribution.

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At this point you may run of the tutorials by:

Code Block
% sit_setup
% python /reg/g/psdm/tutorials/xcs/princeton_movie/movie.py

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