What is NumPy - Interactive Quiz & Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the NumPy library with the common alias.

NumPy

import [1] as np

Drag options to blanks, or click blank then click option'

Anumpy

Bmatplotlib

Cpandas

Dscipy

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong library name like 'pandas' or 'matplotlib'.

Forgetting to use the alias 'np' after import.

NumPy is usually imported with the alias np to make code shorter and easier to read.

2fill in blank

medium

Complete the code to create a NumPy array from a Python list.

NumPy

import numpy as np
arr = np.[1]([1, 2, 3, 4])

Drag options to blanks, or click blank then click option'

Alist

Bdataframe

Cmatrix

Darray

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'list' which is a Python type, not a NumPy function.

Using 'dataframe' which belongs to pandas library.

The array function creates a NumPy array from a list or other sequence.

3fill in blank

hard

Fix the error in the code to get the shape of a NumPy array.

NumPy

import numpy as np
arr = np.array([1, 2, 3])
shape = arr.[1]

Drag options to blanks, or click blank then click option'

Ashape()

Bshape

Csize()

Dlength

Attempts:

3 left

💡 Hint

Common Mistakes

Using parentheses like a function call (e.g., shape()).

Using 'size()' which returns total elements, not shape.

The shape attribute (without parentheses) gives the dimensions of the array.

4fill in blank

hard

Fill both blanks to create a 2x2 NumPy array filled with zeros.

NumPy

import numpy as np
zeros_array = np.[1]((2, [2]))

Drag options to blanks, or click blank then click option'

Azeros

Bones

C3

D2

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'ones' instead of 'zeros'.

Using wrong shape dimensions like (2, 3).

The zeros function creates an array filled with zeros. The shape is given as a tuple (2, 2).

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps each word to its length if length is greater than 3.

NumPy

words = ['apple', 'bat', 'car', 'door']
lengths = { [1]: [2] for [3] in words if len([3]) > 3 }

Drag options to blanks, or click blank then click option'

Aword

Blen(word)

Ditem

Attempts:

3 left

💡 Hint

Common Mistakes

Using different variable names inconsistently.

Not using len() to get the length.

This dictionary comprehension uses word as the variable, maps it to its length with len(word), and iterates over words.