Jack Kelly

So, I've just spent a few days trying to use dask on a NILMTK HDF5 file. TLDR: dask looks promising. But the API for `dask.dataframe` is _much_ smaller then Pandas'...

I've asked [how to compute the forward difference with Dask DataFrame on Stack Overflow](http://stackoverflow.com/questions/40483235/compute-forward-difference-with-dask-dataframe).

Great news: the lovely Dask folks might implement the functionality required to implement `diff`: https://github.com/dask/dask/issues/1765

I'm afraid I'm also some distance from finishing my thesis, sorry. Would be great to see you at the NILM Workshop in Vancouver this weekend if you're going!

nice! I wonder if we could persuade the PyMC folks to split their progress bar off as a separate Python package so we can just include it...

perhaps the ultimate solution would be to use a progress bar to show the user what's happening. And also use logging (perhaps to a log file or wherever the user...

Some very quick thoughts about the progress bar (I was thinking about it whilst walking the dog today!) A challenge is that it will be hard to estimate how many...

I'll add some more thoughts to the original post (because I can edit that from my phone over the holidays!)

That's awesome, thanks loads @jkeirstead ;)

Has anyone come across a domestic electricity simulator which can simulate power demand at one-second intervals? If not then I'm toying with the idea of building something. It might work...