David Dumas Python for mathematical visualization a four dimensional case study PyCon 2017

"Speaker: David Dumas
This is a talk about creating pictures of a mathematical object---specifically, a 4-dimensional fractal ""dust"" that has been the subject of mathematical research in hyperbolic geometry since the 1980s. In the end this is accomplished using a little algebra, a little geometry, and a healthy dose of Python.
That is, I will present a case study of using Python in several aspects of a mathematical visualization project, from the computation itself, to transforming and converting data, and finally for scripting the process of generating the images. Along the way I'll explain how Python's convenient idioms and containers (e.g. sets and set comprehensions) are a good fit for some of the algebraic and geometric questions that come up, how Scipy and Numpy enable fast numerical calculations, and how Python's strength as a language for scripting and automation allows easy orchestration of rendering of still images and frames of animations.
The mathematical visualization project we describe is a collaboration with François Guéritaud (Université de Lille).
Slides can be found at: speakerdeck.com/pycon2017 and github.com/PyCon/2017-slides"

[@freddupont3597]

A wonderful presentation for anyone interested in hyperbolic geometry.

[@radeklew1]

3:45 the purple path is also topologically equivalent to the blue path

[@YalnekH]

Correct me if I'm wrong I haven't looked at topology for some years but any continuous deformation of the purple path on the punctured plane would result in a path which still goes around the puncture, so it can't be topologically equivalent to the blue?

[@radeklew1]

Henryyyyy I'm pretty sure you're 100% right and I don't really know what I was thinking