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I stopped focusing on Python for a while and started reading a lot of Linux docs; but I just now decided to get back into programming. It got me thinking about how interpreters work. Do they take the instructions as they get them, convert them to ml in ram, and send it to the cpu, or do they not have to convert it at all?
Thanks, Josh |
Internally, Python source code is always translated into a bytecode representation, and this bytecode is then executed by the Python virtual machine. In order to avoid the overhead of repeatedly parsing and translating modules that rarely change, this byte code is written into a file whose name ends in ".pyc" whenever a module is parsed. When the corresponding .py file is changed, it is parsed and translated again and the .pyc file is rewritten.
There is no performance difference once the .pyc file has been loaded, as the bytecode read from the .pyc file is exactly the same as the bytecode created by direct translation. The only difference is that loading code from a .pyc file is faster than parsing and translating a .py file, so the presence of precompiled .pyc files improves the start-up time of Python scripts. If desired, the Lib/compileall.py module can be used to create valid .pyc files for a given set of modules. Note that the main script executed by Python, even if its filename ends in .py, is not compiled to a .pyc file. It is compiled to bytecode, but the bytecode is not saved to a file. Usually main scripts are quite short, so this doesn't cost much speed. That tidbit was pulled from the Python FAQ http://www.python.org/doc/faq/general.html...-other-language I was going to try and explain it myself, but I figured the FAQ would have a better explination. |
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