This page provides some useful resources about computational geometry using Python.
(For computational geometry in C++, check out the excellent library CGAL (website, GitHub repo); for computational geometry in Java, check out the JTS library (GitHub repo, website))
(Stay tuned, as I will update the content on this page while I plow and grow in my deep learning garden:))
 Libraries
 SymPy (GitHub repo, website) — sympy.geometry (Utils, Points, Lines, Curves, Ellipses, Polygons, Plane) — SymPy Cheatsheet
 SymPy is a Python library for symbolic mathematics. It aims to become a fullfeatured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python.

 scipy.spatial (Spatial algorithms and data structures) — reference page — SciPy Cheat Sheet (Linear Algebra)

 PySAL –Python Spatial Analysis Library (website, GitHub repo), its computational geometry component, esp its
cg.shapes
— Shapes  Shapely (GitHub repo, documentation and manual) — Manipulation and analysis of geometric objects in the Cartesian plane
 PySAL –Python Spatial Analysis Library (website, GitHub repo), its computational geometry component, esp its

 PyVisiLibity (GitHub repo) — Python binding of VisiLibity 1
Current Functionality of VisiLibity1 in planar polygonal environments with polygonal holes:



 visibility polygons
 visibility graphs
 Euclidean shortest paths for a point
 Python, Ruby, and Matlab bindings



 TBA
 Good posts:
 Computational Geometry in Python: From Theory to Application (by CHARLES MARSH) — PDF
 Computational Geometry in Python (Oct 28, 2014) — (using sympy.geometry, with code examples, including Bézier Curves,Convex Hulls, Voronoi Diagrams, Triangulations, Shortest Paths, Geometric Query Problems using scipy.spatial; Plane Geometry using sympy.geometry , including points, line segments, lines, circles, triangles, curves) —PDF
 Image Processing with numpy, scipy and matplotlibs in sage (Dec 15, 2010) — PDF
 TBA
 Good blogs
 Books
 Interactive Computational Geometry in Python (by Jim Arlow, 2018)
This book is an interactive introduction to some of the fundamental algorithms of computational geometry. It is supplied as a set of interactive Jupyter Notebooks.