mathplotlib

Three Dimensional Shapes and Shading

Jan 24, 2021 · 13 min read · python vector 3D shading cross product mathplotlib ·
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$Three Dimensional Shapes and Shading$

Three dimensional objects are not easy to represent on a 2D surface such as a page or screen. In this article, inspired by chapter 3 of Math for Programmers book, we look at the cross product of two 3D-vectors and representing the surface of any 3D object as a collection of triangles. The cross product can be used to …
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Three Dimensional Vectors and Dot Product

Jan 10, 2021 · 10 min read · python vector 3D dot product mathplotlib ·
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$Three Dimensional Vectors and Dot Product$

The world around is in three dimensions, yet it is not as easy to represent on a 2D surface such as a page or screen. This article, inspired by chapter 3 of Math for Programmers book, looks at presenting 3D vectors with Matplotlib. It also shows how to calculate the length of 3D-vectors and explores the dot product of …
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Two Dimensional shapes

Jan 3, 2021 · 12 min read · python vector 2D mathplotlib ·
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$Two Dimensional shapes$

A vector has magnitude and direction. A single point in 2D space can be considered a vector from the origin (0,0) to that point. Vectors can be described anywhere in 2D space using a point for the start and a point for the end. Multiple vectors can be connected together to create 2D shapes. This article will discuss …
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2D vectors and vector arithmetic

Dec 27, 2020 · 12 min read · python vector 2D mathplotlib ·
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$2D vectors and vector arithmetic$

This is the first article on my notes from reading Math for Programmers. It looks at representing 2D vectors graphically with Matplotlib and visualising vector arithmetic.
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Three Dimensional Shapes and Shading

Three Dimensional Vectors and Dot Product

Two Dimensional shapes

2D vectors and vector arithmetic