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• you have to create plots and handle when when they update
• you have to worry about data getting out of time order
• you have to handle missing data
• you have to reset plots on run boundaries (if that's the behavior you want)
• you have to write code to handle the data gathered from multiple mpi cores (not required if you want to run on 1 core)
• be aware that the shared memory python scripts "steal" event statistics from other shared memory instances (e.g. ami)

but you get to take advantage of the power/flexibility of python.  Look at the DAQ .cnf file (e.g. /cds/group/pcds/dist/pds/rix/scripts/rix.cnf) to see what the name of the node is running the shared memory server ("monReqServer").  You can find the name of the shared memory (hutch name is typically used) either by looking on the .cnf file (the "-P" option to monReqServer executable) or doing a command like this:

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