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Free·Interactive exercise

Linear Algebra in Python and NumPy

Exercises and examples for linear algebra using Python and NumPy, covering topics such as vectors, matrices, and linear transformations.

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PYTHONNUMPYDATA ANALYSISLINEAR ALGEBRA
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Skill level

BEGINNER

Time to complete

5 hours

Access

Free

Prerequisites

None

About this exercise

Exercises and examples for linear algebra using Python and NumPy, covering topics such as vectors, matrices, and linear transformations.

Syllabus

See the content included in this exercise

1

Welcome

Get an overview of linear algebra's role in science and engineering, and preview how you will use Python and NumPy to work with vectors and matrices.

2

Vector Representation

Learn to represent vectors in Python using native lists and NumPy arrays, then complete a function that returns the chosen format.

3

Matrix Representation

Learn to represent matrices in Python using nested lists and NumPy arrays, and complete a function that generates matrices with random values.

4

Vector Addition and Subtraction

Learn to add and subtract vectors element by element using pure Python lists and NumPy array operations.

5

Dot Product and Matrix Product

Implement the dot product and matrix product in pure Python and with NumPy, handling size compatibility errors.

...

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