Iterate over an Excel file (.xls/.xlsx) without loading the data into the memory
This is more of a request rather than a call for help I believe, as I think there isn't a way pandas can currently help me with this. Here's my stackoverflow thread relating the issue. http://stackoverflow.com/questions/32523083/iterator-to-iterate-over-excel-file-in-python

I work with large excel files which I use as databases. Most of the time, I need the raw data from the database only once but with read_excel() method, I have to load it all into my memory even though I'll need that data only once. Sad thing is, the amount of time I take for calculations and data arrangement is far shorter than the time my script takes to read excel data.

It would be pretty nice if pandas had a feature which would allow us to have iterator objects that iterate over certain row/column ranges. As I have stated in my stackoverflow thread, people would be able to make their own iterators if pandas had a method to return a single cell value. Or you could just pass a range of columns or rows to it and it could return a generator.

If these are already all there or there are methods for this kind of applications, or anything that can help me deal with large excel files, I would like to know. Thank you.
