NumPy Tutorial · NumPy Tutorial

NumPy Getting Started

Learn all about NumPy Getting Started in this comprehensive tutorial.

5 min read intermediate

•If you have Python and PIP already installed on a system, then installation of NumPy is very easy.
•Once NumPy is installed, import it in your applications by adding the import keyword:
•NumPy is usually imported under the np alias.
•The version string is stored under __version__ attribute.

Installation of NumPy

If you have Python and PIP already installed on a system, then installation of NumPy is very easy.

Install it using this command:

python

C:\Users\Your Name>pip install numpy

If this command fails, then use a python distribution that already has NumPy installed like, Anaconda, Spyder etc.

Once NumPy is installed, import it in your applications by adding the import keyword:

python

import numpy

Now NumPy is imported and ready to use.

python

import numpy

arr = numpy.array([1, 2, 3, 4, 5])

print(arr)

NumPy is usually imported under the np alias.

Note: alias: In Python alias are an alternate name for referring to the same thing.

Create an alias with the as keyword while importing:

python

import numpy as np

Now the NumPy package can be referred to as np instead of numpy.

python

import numpy as np

arr = np.array([1, 2, 3, 4, 5])

print(arr)

The version string is stored under __version__ attribute.

python

import numpy as npprint(np.__version__)

2 questions

Which of the following is true about NumPy Getting Started?

It is strictly typedIt is evaluated at runtimeIt requires explicit memory managementIt is deprecated

What is the most common pitfall when working with NumPy Getting Started?

SyntaxErrorIndentationErrorNameErrorTypeError

Answer all questions to submit.