map and reducer python files from http://www.michael-noll.com/tutorials/writing-an-hadoop-mapreduce-program-in-python/
move the mapper.py and reducer.py file to a part1 directory with part1 in the file name.  also add the first 2 data files needed for the first part, need 3rd data file.
the trim down versions of books 1 and 2 for part 1 of assn5 to accommodate the word count approximated requirements of the assn
move the part1 mapper and reducer to unix formats
part2-reducer.py is copied over from part1-reducer.py to start, example_input.txt is the example input from the hw5 write up for part 2
change to part2-reducer.py to accommodate the filtering of word length in the output as per reqmts in part2 of hw5
i re-read the reqmts on part2 of assn5, it has to be less than 20, implementing this change
copy and paste did not put the input text into one line, making sure it is only one line of input text, did not change functionality of python code.
added a function to both part1 and part2 reducer.py files to streamline the use of lines of code
added a part3-reducer.py file mimicking what part2 currently has.
modified part3-reducer.py per the reqmts in hw5, part 3.
clean up of code that was commented out due to development
found a file with more than 20k words, using ebooks #5000 for this test case.
rename part1-mapper.py to mapper.py
moving all files from sub directories to this main directory
make an example input with one metropolitan word renamed to metro only.
mapper modified to trim the ending punctuations