hdf5storage 0.1.15-foss-2019b-Python-3.7.4

This Python package provides high level utilities to read/write a variety of Python types to/from HDF5 (Heirarchal Data Format) formatted files. This package also provides support for MATLAB MAT v7.3 formatted files, which are just HDF5 files with a different extension and some extra meta-data. All of this is done without pickling data. Pickling is bad for security because it allows arbitrary code to be executed in the interpreter. One wants to be able to read possibly HDF5 and MAT files from untrusted sources, so pickling is avoided in this package.

Accessing hdf5storage 0.1.15-foss-2019b-Python-3.7.4

To load the module for hdf5storage 0.1.15-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load hdf5storage/0.1.15-foss-2019b-Python-3.7.4

BEAR Apps Version




The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

More Information

For more information visit the hdf5storage website.


This version of hdf5storage has a direct dependency on: foss/2019b h5py/2.10.0-foss-2019b-Python-3.7.4 Python/3.7.4-GCCcore-8.3.0

Required By

This version of hdf5storage is a direct dependent of: BEAR-Python-DataScience/2019b-foss-2019b-Python-3.7.4

Other Versions

These versions of hdf5storage are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 27th November 2019