Dev tools · September 26, 2025
A little notebook for learning linear algebra with Python
A little notebook for learning linear algebra with Python launched on September 26, 2025 with 190 votes, #160 of 8,160 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
A little notebook for learning linear algebra with Python is an educational resource designed for students and developers who want to understand linear algebra concepts through hands-on Python coding. The notebook combines theoretical explanations with practical examples, allowing learners to explore mathematical concepts interactively. It serves as a self-paced learning tool that bridges the gap between abstract mathematics and real-world programming applications, making linear algebra more accessible to those with programming experience.
written from the facts on this page · September 2026
From the sources
Let’s get our hands dirty! This lab is about playing with the building blocks of linear algebra: scalars and vectors. Think of a scalar as just a plain number, like 3 or -1.5 . A vector is a small list of numbers, which you can picture as an arrow in space. We’ll use Python (with NumPy) to explore them. Don’t worry if this is your first time with NumPy - we’ll go slowly. import numpy as np That’s it - we’re ready! NumPy is the main tool we’ll use for linear algebra. a = 5 # a scalar b = - 2.5 # another scalar print (a + b) # add them print (a * b) # multiply them 2.5 -12.5 Vectors are lists of numbers. v = np.array([ 2 , 3 ]) # a vector in 2D w = np.array([ 1 , - 1 , 4 ]) # a vector in 3D…from little-book-of.github.io
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