python-aos-lesson
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Create a synthetic large dataset?
For the large data lesson, the instructor downloads and processes a 45GB dataset. It's impractical to require learners to download that dataset, so they don't get any hands on experience with actually processing large data.
A work around might be to simply run an xarray command to duplicate the monthly dataset used in the earlier lessons (e.g. repeat the time axis 500 times) so it's much larger?