Quiz 1 coursera python

Quiz 1 coursera python

1st - 5th Grade

10 Qs

quiz-placeholder

Similar activities

OPEN HOUSE 2021 HARI KEDUA

OPEN HOUSE 2021 HARI KEDUA

1st - 3rd Grade

11 Qs

Webinar STAN '09

Webinar STAN '09

1st - 3rd Grade

10 Qs

Interactive Game for WP Develophilia ID Batch 1

Interactive Game for WP Develophilia ID Batch 1

KG - Professional Development

15 Qs

Evaluación Linea Metabolica 2023

Evaluación Linea Metabolica 2023

1st Grade

10 Qs

Sposoby przechowywania zapasów ze względu na ich cechy

Sposoby przechowywania zapasów ze względu na ich cechy

1st - 12th Grade

13 Qs

HELLO FM III STUDENTS

HELLO FM III STUDENTS

1st - 10th Grade

10 Qs

About SJBDLS

About SJBDLS

3rd Grade

12 Qs

Método de lectura SQ3R

Método de lectura SQ3R

5th - 6th Grade

10 Qs

Quiz 1 coursera python

Quiz 1 coursera python

Assessment

Quiz

Professional Development

1st - 5th Grade

Practice Problem

Medium

Created by

Orazbaı Seıitmaģambet

Used 1+ times

FREE Resource

AI

Enhance your content in a minute

Add similar questions
Adjust reading levels
Convert to real-world scenario
Translate activity
More...

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What will be the output of the following code?

import re

string = 'bat, lat, mat, bet, let, met, bit, lit, mit, bot, lot, mot'

result = re.findall('b[ao]t', string)

print(result)

'bat, bot'

['bat', 'bot']

'bat, bet, bit, bot'

['bat', 'bet', 'bit', 'bot']

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Assume a and b are two (20, 20) numpy arrays. The L2-distance (defined above) between two equal dimension arrays can be calculated in python as follows:

def l2_dist(a, b):

    result = ((a - b) * (a - b)).sum()

    result = result ** 0.5

    return result 

l2_dist(a.T, b.T)

l2_dist(np.reshape(a, (20 20)), np.reshape(b, (20 20, 1)))

l2_dist(np.reshape(a, (20 20)), np.reshape(b, (20 20)))

l2_dist(a, b)

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Consider the following variables in Python:

a1 = np.random.rand(4)

a2 = np.random.rand(4, 1)

a3 = np.array([[1, 2, 3, 4]])

a4 = np.arange(1, 4, 1)

a5 = np.linspace(1 ,4, 4)

Which of the following statements regarding these variables is correct?

a5. shape == a1. shape

a4. ndim() == 1

a3. shape == a4. shape

al. shape == a2. shape

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is the correct output for the code given below?

import numpy as np

old = np. array([[1, 1, 1], [1, 1, 1]])

new = old

new[0, : 2] = 0

print (old)

[[1 1 1] [1 1 1]]

[[0 0 1] [1 1 1]]

[[1 1 0][1 1 0]]

[[0 1 1][0 1 1]]

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Given the 6x6 NumPy array r shown below, which of the following options would slice the shaded elements?

r[[2, 3], [2, 3]]

r [2: 4, 2: 4]

r[[2, 4], [2, 4]]

r[2: 3, 2: 3]

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

import re

s = ACBСAC"

For the given string, which of the following regular expressions can be used to check if the string starts with 'AC'?

re. findall(' [^A]C', s)

re. findall(' ^AC', s)

re. findall(' AC', s)

re.findall('^[AC]', s)

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What will be the output of the variable L after the following code is executed?

import re

s = 'ACAABAACAAAB'

result = re.findall('A{1,2}', s)

L = len(result)

8

12

5

4

Access all questions and much more by creating a free account

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

Already have an account?

Discover more resources for Professional Development