Reflection-Based Python-C++ Bindings [electronic resource]
Python is a flexible, powerful, high-level language with excellent interactive and introspective capabilities and a very clean syntax. As such, it can be a very effective tool for driving physics analysis. Python is designed to be extensible in low-level C-like languages, and its use as a scientific...
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Online Access |
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| Format: | Government Document Electronic eBook |
| Language: | English |
| Published: |
Washington, D.C. : Oak Ridge, Tenn. :
United States. Dept. of Energy. High Energy Physics Division ; distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy,
2004.
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| Subjects: |
MARC
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| 245 | 0 | 0 | |a Reflection-Based Python-C++ Bindings |h [electronic resource] |
| 260 | |a Washington, D.C. : |b United States. Dept. of Energy. High Energy Physics Division ; |a Oak Ridge, Tenn. : |b distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, |c 2004. | ||
| 300 | |a vp. : |b digital, PDF file. | ||
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| 500 | |a 10/14/2004. | ||
| 500 | |a "lbnl--56538" | ||
| 500 | |a Computing in High Energy and Nuclear Physics (CHEP) 2004, Interlaken (CH), 09/27/2004--10/01/2004. | ||
| 500 | |a Generowicz, Jacek; Lavrijsen, Wim T.L.P.; Marino, Massimo; Mato, Pere. | ||
| 520 | 3 | |a Python is a flexible, powerful, high-level language with excellent interactive and introspective capabilities and a very clean syntax. As such, it can be a very effective tool for driving physics analysis. Python is designed to be extensible in low-level C-like languages, and its use as a scientific steering language has become quite widespread. To this end, existing and custom-written C or C++ libraries are bound to the Python environment as so-called extension modules. A number of tools for easing the process of creating such bindings exist, such as SWIG and Boost. Python. Yet, the process still requires a considerable amount of effort and expertise. The C++ language has few built-in introspective capabilities, but tools such as LCGDict and CINT add this by providing so-called dictionaries: libraries that contain information about the names, entry points, argument types, etc. of other libraries. The reflection information from these dictionaries can be used for the creation of bindings and so the process can be fully automated, as dictionaries are already provided for many end-user libraries for other purposes, such as object persistency. PyLCGDict is a Python extension module that uses LCG dictionaries, as PyROOT uses CINT reflection information, to allow /cwPython users to access C++ libraries with essentially no preparation on the users' behalf. In addition, and in a similar way, PyROOT gives ROOT users access to Python libraries. | |
| 520 | 0 | |a Lcg Seal Dictionary Pylcgdict Pyroot Root Cint Pyreflex. | |
| 536 | |b AC03-76SF00098. | ||
| 536 | |b PAC11H. | ||
| 650 | 7 | |a Nuclear Physics. |2 local. | |
| 650 | 7 | |a Dictionaries. |2 local. | |
| 650 | 7 | |a Reflection. |2 local. | |
| 650 | 7 | |a Computers. |2 local. | |
| 650 | 7 | |a High Energy Physics. |2 local. | |
| 650 | 7 | |a Classical And Quantum Mechanics, General Physics. |2 edbsc. | |
| 650 | 7 | |a Nuclear Physics And Radiation Physics. |2 edbsc. | |
| 650 | 7 | |a General And Miscellaneous//mathematics, Computing, And Information Science. |2 edbsc. | |
| 710 | 2 | |a Lawrence Berkeley National Laboratory. |4 res. | |
| 710 | 1 | |a United States. |b Department of Energy. |b High Energy Physics Division. |4 spn. | |
| 710 | 1 | |a United States. |b Department of Energy. |b Office of Scientific and Technical Information. |4 dst. | |
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