On Jun 28, 3:33 am, subhabangal...@gmail.com wrote: > May any one suggest me what may be the likely issue?
In situations like this, it always helps to see your code, especially if you can reduce it down to only the part doing the loading. One thing that can help reduce memory usage is to replace lists/list comprehensions with generators. For example, this loads the entire file into memory: for line in open('big.txt').readlines(): # do something to line While this only loads one line at a time: for line in open('big.txt'): # do something to line You can also do the same with multiple files by creating a generator to return their content a line at a time: filenames = ['a.txt', 'b.txt', 'c.txt'] files = (open(name) for name in filenames) lines = (line for file in files for line in file) for line in lines: # do something to line I highly recommend David Beazley's "Generator Tricks for Systems Programmers" for more techniques like this. -- http://mail.python.org/mailman/listinfo/python-list