Possible Fix to deal with Python Memory usage

Question

I have the following class:

 class C1:
    STORE = []
    TYPE = []
    ITEMS = []
    PRICE = []


    def __init__(self,STORE,TYPE,ITEMS,PRICE):
        se         


        

Answer 1

Items are alphanumerically ordered [...]

With all this data in a class, I run 'reports' with some 'complex' computation involved.

Are there data structures other than lists which would consume less memory and improve my performance?

I'm just guessing at your algorithms here: linear-time searching? If so, using an OrderedDict may improve performance greatly.

That won't solve the memory issue, though; consider using a proper database package instead, e.g. SQLite + SQLAlchemy or plain old bsddb with B-trees.