User:Boris Tsirelson/Sandbox1: Difference between revisions
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==Run-time efficiency== | |||
Generally, a high-level interpreted scripting language is far not as fast as a compiled program. However, a specializing just-in-time compiler "Psyco"<ref>[http://psyco.sourceforge.net/ Psyco: High-level languages need not be slower than low-level ones.]</ref> runs existing Python programs much faster, with no change in the source text. In addition, the Python library contains a number of modules performing useful operations quite effectively. For example, "Anydbm"<ref>[http://docs.python.org/release/2.5.2/lib/module-anydbm.html anydbm -- Generic access to DBM-style databases]</ref> can effectively maintain a large indexed file. | Generally, a high-level interpreted scripting language is far not as fast as a compiled program. However, a specializing just-in-time compiler "Psyco"<ref>[http://psyco.sourceforge.net/ Psyco: High-level languages need not be slower than low-level ones.]</ref> runs existing Python programs much faster, with no change in the source text. In addition, the Python library contains a number of modules performing useful operations quite effectively. For example, "Anydbm"<ref>[http://docs.python.org/release/2.5.2/lib/module-anydbm.html anydbm -- Generic access to DBM-style databases]</ref> can effectively maintain a large indexed file. | ||
==Notes and references== | ==Notes and references== | ||
{{reflist}} | {{reflist}} |
Revision as of 09:33, 31 August 2010
Run-time efficiency
Generally, a high-level interpreted scripting language is far not as fast as a compiled program. However, a specializing just-in-time compiler "Psyco"[1] runs existing Python programs much faster, with no change in the source text. In addition, the Python library contains a number of modules performing useful operations quite effectively. For example, "Anydbm"[2] can effectively maintain a large indexed file.