python

Data science in the Google cloud - [1]

Anyone analysing big data (buzzword, here refereed to as data too big to load into memory) soon will come to the realization that processing such data requires a lot of computational resources.

Robust correlations with xarray and dask

I perform most of my analyses using either R or standalone GDAL tools simply because of their general convenience and ease of use. Standard spatial analysis functions and tools are in my opinion still more readily available in R and most R packages are quite mature and well designed ( but see the readme ).