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In the Python world, consensus is rapidly converging on Hierarchical Data Format version 5, or “HDF5,” as the standard mechanism for storing large quantities ofAn introduction to PyTables and HDF5 for data analysis in Python. Using Pytables For Larger Than Ram Data Processing. Explore the post in your browser using Colab · See the pre-rendered post on GitHub. 12 Jul 2017 HDF5 is an open-source library and file format for storing large amounts of Tutorial and reference documentation is available here at docs.h5py.org. The h5py package is a Pythonic interface to the HDF5 binary data format. H5py uses straightforward NumPy and Python metaphors, like dictionary and NumPy The h5py user manual is a great place to start; you may also want to check out In order to emulate in Python records mapped to HDF5 C structs PyTables . Check the tutorial Reading (and selecting) data in a table for usage examples. Moreover, HDF5 bindings exist for almost every language - including two Python libraries (PyTables and h5py). This tutorial will cover HDF5 itself through the Then we will select some of the data in the table using Python cuts and create .. You can examine it with any generic HDF5 tool, such as h5dump or h5ls. I'm reading about Pandas, PyTables, h5py and I'm confused, I don't know which of these tools does what I need and whether they would solve