In this lab you will process a paragraph of text using Python dictionaries to extract useful statistics and structure.
Count how many times each word appears in the paragraph. Normalize words to lowercase and strip punctuation before counting.
Find the word that appears most frequently. If there is a tie, return the one that comes first alphabetically.
Build a dict mapping each starting letter to a sorted list of unique words beginning with that letter.
Your program must print exactly:
str.lower()
str.strip('.,!?;:\"\'')
.get()
sorted()
setdefault(letter, [])