I have a few data sets (in tsv format) larger than 10 gb that I need in hdf5 format. I'm working with Python. I've read about the Pandas package not taking up too much memory in reading the files and storing them as hdf5. I wasn't able to do so without my machine running out of memory, though. I've also tried Spark, but don't feel at my ease there. So, what alternative solution do I have other than reading huge files in memory?
How can I read tsv files and store them as hdf5 without running out of memory?
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