it seems like pytable only support HDF5. I had some 500GB numerical arrays to process. Pytable claims to have some advance feature to enhance processing speed and largely reduce physical memory requirement. However, I do not wanna touch the raw data I had. Simply because I do not have doubled diskspace to covert all 10TB data into HDF5. Is there any way to let pytable read raw binary files or alternatively to package raw files into HDF5 format without change the files themselves.?
Thanks Brain Gateway
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