Uniform random with random() in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to generate a single random number between 0 and 1 using numpy.

NumPy

import numpy as np
random_number = np.random.[1]()

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Arandom

Brandint

Cchoice

Drandn

Attempts:

3 left

💡 Hint

Common Mistakes

Using randint which returns integers.

Using randn which returns numbers from a normal distribution.

The np.random.random() function generates a random float between 0 and 1.

2fill in blank

medium

Complete the code to generate an array of 5 random floats between 0 and 1.

NumPy

import numpy as np
random_array = np.random.[1](5)

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Arandom

Bchoice

Crandint

Drandn

Attempts:

3 left

💡 Hint

Common Mistakes

Using randint which returns integers.

Using randn which returns normally distributed numbers.

np.random.random(5) creates an array of 5 random floats between 0 and 1.

3fill in blank

hard

Fix the error in the code to generate a 2x3 array of random floats between 0 and 1.

NumPy

import numpy as np
random_matrix = np.random.random([1])

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A[2,3]

B(2,3)

C{2,3}

D2,3

Attempts:

3 left

💡 Hint

Common Mistakes

Passing shape as separate arguments instead of a tuple.

Using square brackets instead of parentheses.

The shape argument must be passed as a tuple inside parentheses: random(2, 3) is incorrect, it should be random((2, 3)).

4fill in blank

hard

Fill both blanks to create a dictionary with words as keys and their random scores between 0 and 1 as values.

NumPy

import numpy as np
words = ['apple', 'banana', 'cherry']
scores = {word: np.random.[1]() for word in [2]

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Arandom

Brandint

Cwords

Drange(3)

Attempts:

3 left

💡 Hint

Common Mistakes

Using randint which generates integers.

Iterating over range(3) instead of the words list.

Use np.random.random() to generate random floats and iterate over the list words to create the dictionary.

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase words as keys and random scores greater than 0.5 as values.

NumPy

import numpy as np
words = ['dog', 'cat', 'bird']
result = {word.[1](): np.random.random() for word in words if np.random.random() [2] 0.5 and word [3] 'cat'}

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Aupper

B>

C!=

Dlower

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'lower' instead of 'upper'.

Using '==' instead of '!=' to exclude 'cat'.

Use word.upper() to make keys uppercase, select random values greater than 0.5, and exclude the word 'cat' using !=.