M5S1

Question 1

What is NumPy short for?

Answer 1

Numerical Python

Question 2

What is NumPy?

Answer 2

A foundational package for numerical computing in Python.

Question 3

Why NumPy?

Answer 3

• Efficient calculations for large arrays of numbers.
• Computations on entire arrays without for loops.
• Array-oriented computing.

Question 4

To utilize the package, the initial step involves employing an import command:

Answer 4

import numpy as np

Question 5

A generic multidimensional container for homogenous data.

Answer 5

ndarray

Question 6

Index starts at 0 and increments by 1 in each succeeding position

Answer 6

Array

Question 7

It takes a ________ as input and produces a NumPy array containing the passed data

Answer 7

Sequence

Question 8

Every array has:

Answer 8

• shape
• dtype
• ndim

Question 9

Tuple indicating size of each dimension

Answer 9

Shape

Question 9

Data type of the array

Answer 9

dtype

Question 10

Number of dimensions

Answer 10

ndim

Question 11

More ways to create arrays

Answer 11

np.zeros()
np.ones()
np.arange()

Question 12

T or F

NumPy has many functions
that can take arrays as input
argument.

Answer 12

True

Question 13

T or F

The output is the
function evaluated for every
element of the input array.

Answer 13

True

Question 14

In T attribute, what does T stand for?

Answer 14

Transpose

Question 15

Array methods that compute some statistics.

Answer 15

• min()
• max()
• mean()
• sum()

Question 16

T or F

Python can index elements
of an array that satisfy a
logical expression.

Answer 16

True