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https://github.com/pydata/xarray/pull/3737#issuecomment-580824275 https://api.github.com/repos/pydata/xarray/issues/3737 580824275 MDEyOklzc3VlQ29tbWVudDU4MDgyNDI3NQ== 14808389 2020-01-31T17:13:38Z 2020-01-31T17:13:38Z MEMBER

looking at the way you pinned the versions (using >=) this should be fine as is, no need for switching to pip.

I have also been experimenting with using channels like https://metachannel.conda-forge.org/conda-forge/iris,netcdf4,numpy,numba,pandas,cartopy which in theory should reduce the downloaded repodata.json and thus reduce the used memory, but I probably did not use the correct url: the used memory increased instead.

Another way to reduce it could be using mamba which reimplements the solver in C++, but it's experimental right now and it's probably also something that has to be installed by RTD, not us (it needs to be installed before creating the environment).

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