Anshul Singhvi
Anshul Singhvi
This particular change breaks one of the CI examples, specifically: ```julia rcopy(R"data.frame(a=1,b=2)") ``` which internally receives a Float64 for each column rather than a vector for each column. I'm not...
Huh! OK, I didn't realize that other classes are able to override `data.table` even if it is first in the vector of classes. For my particular application, I can just...
It would have to be processed by Literate first, no? Otherwise everything will be a header.
Huh! ```julia ras = Raster(AG.getoverview(b, 1), PS.agg_axis.(dims(r), 2^(2))) heatmap(read(ras)) ```  ```julia heatmap(ras) ```  This looks like good old DiskArrays collect again.
See kadyb/vector-benchmark#12
by the way, I just tested `proj_trans_generic` on an array (since I've been doing a bunch of reinterpret stuff :D) and it turns out, it is almost exactly the same...
I can't reprodce this, should we close as stale?
`heatmap(rgba_raster)` just works now: 
Can this be closed now that we have `zonal`?
https://github.com/JuliaGPU/GPUArrays.jl/tree/master/lib/JLArrays may be helpful, it sticks to the GPUArrays interface but runs on CPU. Otherwise you could test on macos (which is guaranteed to have a GPU) but Metal.jl is...