Description
Read and write netCDF4-style scientific data through h5py using a Pythonic interface. It helps climate, ocean, atmospheric, and other research workflows handle multidimensional array datasets stored in HDF5-backed formats.
This is a scientific data library, not a visual analysis app. Metadata, dimensions, units, chunking, and compression affect results and performance, so datasets should be validated before publication or decision-making.