D
Darius Blasband
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XMLBooster 2.10.1 supports Python
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XMLBooster (http://www.xmlbooster.com) version 2.10.1 can generate
application-specific XML parsers to be used from within Python. The
parsers and the resulting data structures can be accessed by Python
code through a comprehensive interface, while the actual parser is
generated in C, thereby providing the best of both worlds: top-knotch
performance by using optimized code generation in C, and the flexibility
and productivity of Python, accessing your document using ad hoc classes
rather then generic DOM trees.
The interface between C and Python is provided by SWIG, with specific
additions so that the underlying C structure can be used as is by Python
developers, low-level technicalities being taken into account
automatically. For instance, linked lists as supported by the XMLBooster
C code generator are published as plain Python lists so that they can be
used together with quantifiers or filters.
The objects generated by SWIG to access XMLBooster-generated data
structures are just facades: they hold no data. They just provide a
convenient access to the underlying C structure. Since these facades are
created on demand only, this means that one can use these generated
parsers to deal with huge XML instances, much larger than what a generic
DOM-based parser would allow. The performance and memory footprint gains
get even more impressive when only a small part of the XML document is
to be accessed from within the Python application.
XMLBooster 2.10.1 supports Python
*********************************
XMLBooster (http://www.xmlbooster.com) version 2.10.1 can generate
application-specific XML parsers to be used from within Python. The
parsers and the resulting data structures can be accessed by Python
code through a comprehensive interface, while the actual parser is
generated in C, thereby providing the best of both worlds: top-knotch
performance by using optimized code generation in C, and the flexibility
and productivity of Python, accessing your document using ad hoc classes
rather then generic DOM trees.
The interface between C and Python is provided by SWIG, with specific
additions so that the underlying C structure can be used as is by Python
developers, low-level technicalities being taken into account
automatically. For instance, linked lists as supported by the XMLBooster
C code generator are published as plain Python lists so that they can be
used together with quantifiers or filters.
The objects generated by SWIG to access XMLBooster-generated data
structures are just facades: they hold no data. They just provide a
convenient access to the underlying C structure. Since these facades are
created on demand only, this means that one can use these generated
parsers to deal with huge XML instances, much larger than what a generic
DOM-based parser would allow. The performance and memory footprint gains
get even more impressive when only a small part of the XML document is
to be accessed from within the Python application.