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3 years ago

Find the true Value if: int x = 15; int y = 100;

Computers and Technology

1 answer:

ch4aika [34]3 years ago

7 0

Answer:

! (x< 15)

(x<= 15)

(x != 5);

Explanation:

Here, x is not less than 15 and hence !(x<15) is true. Also x = 15 and hence x is !=5, and hence x<=15 amd x!= 15 is true. However, x !=y and hence x== y is false, and x <y and hence x>y is false. And x * -y = a negative number and hence < 0. And hence ( x * -y >0) is false. And hence, the above mentioned options holds a true value, and rest of the options holds the false value.

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Define a function called 'findWordFreq, which takes two parameters. The first parameter, 'text" is an nltk.text.Text object and

MakcuM [25]

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.

4 0

3 years ago

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TEA [102]

We have to search the desired topic on the search box in the homepage

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3 years ago

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Lelechka [254]

Answer:

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Explanation:

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3 years ago

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Annette [7]

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5 0

3 years ago

Create a Python program that:

Charra [1.4K]

Answer:

```

file = open("trips.txt","r")

file = file.split("\n")

trip_date = []

fuel_used = []

miles_traveled = []

for i in file:

trip_date.append(i.split(", ")[0])

for i in file:

fuel_used.append(i.split(", ")[1])

for i in file:

miles_traveled.append(i.split(", ")[2])

```

This should put the data in their own lists (i didn't test it) but im not going to solve everything for you. The rest is for you to tinker with. You shouldn't throw your question at us and expect an answer. This is the most that I will give you.

Explanation:

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3 years ago