Answer:
import os
import nltk
import zipfile
from nltk. corpus import gutenberg
from nltk. text import Text
def findWordFreq(text, word):
textfreq = nltk. FreqDist(text)
wordfreq = nltk.FreqDist(word)
maxfreq = max(textfreq)
return wordfreq, maxfreq
if -_name__ == '__main__':
text = input()
word = input()
if not os.path.exists(os.getcwd() + "/nltk_data"):
with zipfile.ZipFile("nltk_data.zip", 'r') as zip_ref:
zip_ref.extractall(os.getcwd())
os.environ['NLTK_DATA'] = os.getcwd() + "/nltk_data"
text = Text(gutenberg.words (text))
word_freq, max_freq = findWordFreq(text, word)
print(word_freq)
print(max_freq)
Explanation:
The natural language package in python is used to get and analyse word from voice input. The python code above get words from a zipfile extract, and the 'findWordFreq' function gets the word count and the maximum number of alphabet used in the word distribution.
The Continents were all joined into one land mass
1.
name = input("Enter your name: ")
num1 = int(input("Hello "+name+ ", enter an integer: "))
num2 = int(input(name+", enter another integer: "))
try:
if num1 % num2 == 0:
print("The first number is divisible by the second number")
else:
print("The first number is not divisible by the second number")
except ZeroDivisionError:
print("The first number is not divisible by the second number")
try:
if num2 % num1 == 0:
print("The second number is divisible by the first number")
else:
print("The second number is not divisible by the first number")
except ZeroDivisionError:
print("The second number is not divisible by the first number")
2.
import random, math
num1 = float(input("Enter a small decimal number: "))
num2 = float(input("Enter a large decimal number: "))
r = round(random.uniform(num1, num2), 2)
print("The volume of a sphere with radius " + str(r) + " is " + str(round(((4 / 3) * math.pi * (r ** 3)), 2)))
I hope this helps!
