Optimize Python Code for Two Scripts

Please see attached profiles for the two scripts. I am looking for someone to quickly optimize two different scripts that I will send to the freelancer we award the work to... Objective: to optimize two scripts using at least the below methods (we haven't listed everything) I am looking for someone who can use the map, reduce, and filter keywords to significantly speed up tight loops. Where possible convert if's to try's. If you see code like this: if somethingcrazy_happened: uhOhBetterDoSomething() else: doWhatWeNormallyDo() And doWhatWeNormallyDo() would throw an exception if something crazy had happened, then it would be faster to arrange your code like this: try: doWhatWeNormallyDo() except SomethingCrazy: uhOhBetterDoSomething() Because of the cost of name lookups, it can also be better to cache global values within functions, and bake-in simple boolean tests into functions like this: Unoptimised function: def foo(): if condition_that_rarely_changes: doSomething() else: doSomethingElse() Instead of using a variable, exploit the fact that the interpreter is doing a name lookup on the function anyway! When the condition becomes true: foo = doSomething # now foo() calls doSomething() When the condition becomes false: foo = doSomethingElse # now foo() calls doSomethingElse()