{}
# Online Python compiler (interpreter) to run Python online.
# Write Python 3 code in this online editor and run it.
import re
from collections import Counter
# ----------------------------
# Part 1: Most frequent word in a paragraph
# ----------------------------
paragraph = '''I love teaching. If you do not love teaching what else can you love.
I love Python if you do not love something which can give you all the capabilities
to develop an application what else can you love.'''
def most_frequent_in_paragraph(text):
# Clean and normalize
words = re.findall(r'\b\w+\b', text.lower())
count = Counter(words)
return count.most_common(1)[0] # Return most frequent word
most_common_word = most_frequent_in_paragraph(paragraph)
print("Most frequent word in paragraph:", most_common_word)
# ----------------------------
# Part 2: Distance between furthest particles
# ----------------------------
points = ['-12', '-4', '-3', '-1', '0', '4', '8']
points = list(map(int, points))
points.sort()
distance = points[-1] - points[0]
print("Distance between furthest particles:", distance)
# ----------------------------
# Part 3: Valid Python variable name checker
# ----------------------------
def is_valid_variable(name):
return name.isidentifier()
# Test cases
print("is_valid_variable('first_name'):", is_valid_variable('first_name'))
print("is_valid_variable('first-name'):", is_valid_variable('first-name'))
print("is_valid_variable('1first_name'):", is_valid_variable('1first_name'))
print("is_valid_variable('firstname'):", is_valid_variable('firstname'))
# ----------------------------
# Part 4: Clean text and get top 3 most frequent words
# ----------------------------
sentence = '''%I $am@% a %tea@cher%, &and& I lo%#ve %tea@ching%;.
There $is nothing; &as& mo@re rewarding as educa@ting &and& @emp%o@wering
peo@ple. ;I found tea@ching m%o@re interesting tha@n any other %jo@bs.
%Do@es thi%s mo@tivate yo@u to be a tea@cher!?'''
def clean_text(text):
# Remove special characters
return re.sub(r'[^a-zA-Z\s]', '', text)
def most_frequent_words(text, n=3):
words = text.lower().split()
return Counter(words).most_common(n)
cleaned = clean_text(sentence)
print("Cleaned sentence:", cleaned)
top_words = most_frequent_words(cleaned)
print("Top 3 frequent words:", top_words)