In my previous post I described a new paper about fitting pulsar parameters in the presence of timing noise using a general least-squares method. It seems like a good approach, but I'd like to look at it in more detail. So: python to the rescue!
Laboratory automation has been growing more and more elaborate - multiwell tools for "parallel processing", and benchtop robot arms, for example, that will handle repetitive tasks. But flow cytometry offers some startling possibilities.