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• Flexibility; HDF5 file has indexed structure, that means direct access to any data of any file from your code.
• Python is a high-level scripting language allows to write transparent and compact code based on well-elaborated standard libraries.
• In general, code in Python works slow comparing to C++, but there are libraries like NumPy written on C++, which solve this problem for manipulation with large arrays.

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Below we assume that everything is set up setup to work on LCLS analysis farm, otherwise see Computing and Account Setup.

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Detailed description of the HDF5 file structure can be found in HDF5 or h5py web sites. Briefly speaking, its structure resembles the file system directory tree. The top level of the HDF5 tree is a file; file may contain groups and datasets; each group may contain other groups and datasets; each dataset contains the data objects, which in most cases can be associated with NumPy types. Group and file may also have additional parameters, which are called as attributes.  So, there are three basic type of items in HDF5 file: File, Group, and Dataset. Their names are used as an access keys.

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