word_analyzer.py

# Importing required module
from collections import Counter  # A built-in Python module for counting hashable items

# Sample paragraph (you can change this or accept user input)
text = input("Enter a paragraph: ")

# 1. Clean and split the text into words
words = text.lower().replace('.', '').replace('!', '').split()

# 2. Use a set to get all unique words
unique_words = set(words)

# 3. Use a dictionary to count word frequencies
word_count = {}  # Dictionary to store word: frequency

# 4. Use a for loop to count each word
for word in words:
    if word in word_count:
        word_count[word] += 1  # Increment count if word exists
    else:
        word_count[word] = 1  # Add word with count 1

# 5. Use built-in len() function to get total and unique words
total_words = len(words)
unique_word_count = len(unique_words)

# 6. Use sorted() built-in to show top words by frequency
sorted_words = sorted(word_count.items(), key=lambda item: item[1], reverse=True)

# 7. Use Counter from collections as another way to do word counting
counter = Counter(words)

# === OUTPUT SECTION ===
print("🔍 Word Analyzer Results")
print("----------------------------")
print("Total words:", total_words)
print("Unique words:", unique_word_count)
print("Word frequencies (manual method):")
for word, count in sorted_words:
    print(f"{word}: {count}")

print("\nWord frequencies (using Counter):")
print(counter)