optimization
Rob W. W. Hooft
rob at hooft.net
Mon May 15 03:01:37 EDT 2000
>>>>> "EH" == Eric Hagemann <ehagemann at home.com> writes:
EH> Is it faster to split a string into a tuple with individual
EH> elements
>>> a= "as the end"
>>> (x,y,z) = string.split(a," ")
EH> or as a list
>>> q = string.split(a," " )
EH> where following accesses would entail q[0]='as' etc.
Why does it need to be the fastest?
EH> Is is faster to index through a list
>>>> a=[1,2,3,4.....]
>>>> for i in range(4): a[i].....
EH> or
>>>> for x in a: .......
Why does it need to be the fastest?
EH> I am looking in general to produce
EH> quick code and am looking for coding techniques that are best
EH> utilize the language.
The best python techniques are those that make the code the most
readable. So: if you are writing a simple command interpreter:
(command,source,destination)=string.split(commandline)
(Note: no x,y,z)
And if you need to iterate over all elements of a list:
for commandline in script:
do()
The general idea of optimizing python is: Write your program. Do not
focus on speed, but on readability and maintainability. If it is too
slow: optimize the inner loop while documenting it very well. If it is
still too slow, write a C routine to replace the inner loop.
See also:
http://www.python.org/doc/essays/ppt/hp-training/sld039.htm
http://www.python.org/doc/essays/list2str.html
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