:pyh5preserve is a wrapper around h5py and hdf5, providing easier serialisation of native python types. Its design is inspired by Camel, and follows its philosophy.
The purpose of :pyh5preserve is to provide a simple serialisation library to hdf5 files. Hence :pyh5preserve has support for complex numerical data, multidimensional arrays etc., which other serialisation formats may not represent as effectively. :pyh5preserve makes it easy to split out the interaction with hdf5 files from the main logic of your code. Since :pyh5preserve is designed to hide the underlying hdf5 file, large files where memory usage is a concern do not work well with :pyh5preserve. In this case, :pyh5preserve provides easy access to the underlying h5py objects, or you may want to look at using pytables, which provides a more database-like interface to hdf5 files.
The name comes from the "h5" label associated with hdf5, and the idea of preserving or pickling data.
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Quickstart Installation Usage Reference Contributing
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