In this homewok, you will use the dictionary data structure that is in-built into Python to perform a fairly simple task. The Think Python book has a nice chapter (Chapter 11, pages 103-109) on Python dictionaries. It would immensely help you to read at least sections 11.1-11.4 of this chapter, before you get started on the homework.
Computing a word histogram. For the homework, I would like you to read a text file and count the number of ocurrances of each word in the file. You can model your solution around the example on page 105 of the Think Python book.
Here are a few issues not directly related to that of counting word ocurrences:
#Reads a sequence of words, separated by spaces, from a file #which is passed in as an argument to the function. The sequence is #stored in a list and returned. def getList(fileref): l =  #readlines() returns the contents of file as a list of strings #with each line stored in a single string lines = fileref.readlines() for s in lines: words = s.split() for w in words: l.append(w) return lThe above function can be called using the pickAFile() function that we have see before. Here is an example:
def example(): fileref = open(pickAFile(), 'r') wordList = getList(fileref)At the end of the function example(), the list wordList is a list of all words in the file.
Things you should do.
Your task is to write a program that reads a file, extracts words from the file, and counts the number of ocurrances of each word in the file. The output should be a table of the kind:
word1 frequency word2 frequency ... ... ... ... ... ...
What to submit.
A file called hw9.py with your program and a README file.