Does anyone have a meaningfull example of the use of the Profiler included in Python?
I was looking for a halfway decent example code, but when you also asked for list comprehension, a light went up, and I combined the two questions:
# using the module profile to profile a function or a statement import profile #help('profile.run') def evenList1(): """returns a list of even numbers from 0 to 99998 using append in a loop the 50000 calls to append() consume much CPU time """ L1 =  for x in range(100000): if x % 2 == 0: L1.append(x) return L1 def evenList2(): """returns a list of even numbers from 0 to 99998 using list comprehension much faster in CPU time than the standard loop with append() """ L2 = [x for x in range(100000) if x % 2 == 0] return L2 # test first 30 elements print evenList1()[0:30] print evenList2()[0:30] print print "Profile of evenList1(), check the time consumed by the many append() calls:" print "(ignore time consumed by the profiler itself)\n" profile.run('evenList1()') print "Profile of evenList2():" print "(ignore time consumed by the profiler itself)\n" profile.run('evenList2()')
I hope this will show you how to use the Python profile module and give you some insight into list comprehension.
Edited by vegaseat: fixed code tags
It works and gives much information, thank you muchly!