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Python videos | Python Part 18 - NumPy

Posted by Andy Brown on 10 November 2021

Python Part 18 - NumPy

The NumPy module in Python lets you create and manipulate single-axis or multi-dimensional arrays. This tutorial will (among other things) show you how to create, multiply, sort, filter, join, slice, transpose, flatten and clip arrays using NumPy!

See our full range of Python training resources, or test your knowledge of Python with one of our Python skills assessment tests.

This video has the following accompanying files:

File name	Type	Description
Data types.webp	Image	NumPy data types
Premier League points.xlsx	Excel workbook	Excel Workbook of Premier League points
Useful links.txt	Text file	Useful links for tutorial
A - basic arrays.py	Python code	Creating basic arrays
B - data types.py	Python code	Working with data types
C - ways to create arrays.py	Python code	Different ways to create NumPy arrays
D - slicing arrays.py	Python code	Slicing arrays
E - Aggregation.py	Python code	Aggregating using sum etc
F - dot versus multiply.py	Python code	The principle of array multiplication
G - premier league points.py	Python code	Multiplying arrays to get points scored
H - sorting arrays.py	Python code	Sorting arrays
I - join arrays.py	Python code	Stacking and concatenating arrays
J - other things you can do.py	Python code	Other array techniques

Click to download a zipped copy of the above files.

After watching this video, you may like to test your understanding by doing one or more of the following exercises:

Exercise	Level
Create a NumPy array of the Tokyo Olympics medal table, then slice and sum it	Easy

You can also download the answers to each exercise from the links above.

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