This is an implementation of the QuickHull algorithm in Python. I

Overview

QuickHull

This is an implementation of the QuickHull algorithm in Python. It randomly generates a set of points and finds the convex hull of this set of points using the Quickhull algorithm.

More details about QuickHull algorithm here: Quickhull Algorithm

If this code helped you visualize and understand the Quickhull algorithm, please give this repo a star!

Installation/Setup

To get this code to run on your machine, you will need to follows these steps:

  • Clone this repo to your local machine using
git clone https://github.com/AnantJoshiCZ/QuickHull.git 
  • Install John Zelle's graphics.py
pip install graphics.py
  • Run quickhull.py

MacOS

If you're on the MacOS, you may need to install the Tkinter dependencies separately. To do this with Homebrew, use the following:

brew install python-tk

This will install any Tkinter/tkinter dependencies and allow you to use the graphics.py library. If you do not do this step, you may see an error when running the code. This is a common issue with the graphics.py library which is supposed to be a library for learning basic graphic concepts.

Owner
Anant Joshi
Graduate CS Student with interest in ML, AI, Cryptography
Anant Joshi
A Python Package for Portfolio Optimization using the Critical Line Algorithm

A Python Package for Portfolio Optimization using the Critical Line Algorithm

19 Oct 11, 2022
Pathfinding algorithm based on A*

Pathfinding V1 What is pathfindingV1 ? This program is my very first path finding program, using python and turtle for graphic rendering. How is it wo

Yan'D 6 May 26, 2022
Robotic Path Planner for a 2D Sphere World

Robotic Path Planner for a 2D Sphere World This repository contains code implementing a robotic path planner in a 2D sphere world with obstacles. The

Matthew Miceli 1 Nov 19, 2021
CLI Eight Puzzle mini-game featuring BFS, DFS, Greedy and A* searches as solver algorithms.

🕹 Eight Puzzle CLI Jogo do quebra-cabeças de 8 peças em linha de comando desenvolvido para a disciplina de Inteligência Artificial. Escrito em python

Lucas Nakahara 1 Jun 30, 2021
Implementation of an ordered dithering algorithm used in computer graphics

Ordered Dithering Project In this project, we use an ordered dithering method to turn an RGB image, first to a gray scale image and then, turn the gra

1 Oct 26, 2021
marching Squares algorithm in python with clean code.

Marching Squares marching Squares algorithm in python with clean code. Tools Python 3 EasyDraw Creators Mohammad Dori Run the Code Installation Requir

Mohammad Dori 3 Jul 15, 2022
The DarkRift2 networking framework written in Python 3

DarkRiftPy is Darkrift2 written in Python 3. The implementation is fully compatible with the original version. So you can write a client side on Python that connects to a Darkrift2 server written in

Anton Dobryakov 6 May 23, 2022
A fast, pure python implementation of the MuyGPs Gaussian process realization and training algorithm.

Fast implementation of the MuyGPs Gaussian process hyperparameter estimation algorithm MuyGPs is a GP estimation method that affords fast hyperparamet

Lawrence Livermore National Laboratory 13 Dec 02, 2022
Nature-inspired algorithms are a very popular tool for solving optimization problems.

Nature-inspired algorithms are a very popular tool for solving optimization problems. Numerous variants of nature-inspired algorithms have been develo

NiaOrg 215 Dec 28, 2022
Algorithms implemented in Python

Python Algorithms Library Laurent Luce Description The purpose of this library is to help you with common algorithms like: A* path finding. String Mat

Laurent Luce 264 Dec 06, 2022
Silver Trading Algorithm

Silver Trading Algorithm This project was done in the context of the Applied Algorithm Trading Course (FINM 35910) at the University of Chicago. Motiv

Laurent Lanteigne 1 Jan 29, 2022
Optimal skincare partition finder using graph theory

Pigment The problem of partitioning up a skincare regime into parts such that each part does not interfere with itself is equivalent to the minimal cl

Jason Nguyen 1 Nov 22, 2021
Using A * search algorithm and GBFS search algorithm to solve the Romanian problem

Romanian-problem-using-Astar-and-GBFS Using A * search algorithm and GBFS search algorithm to solve the Romanian problem Romanian problem: The agent i

Mahdi Hassanzadeh 6 Nov 22, 2022
PICO is an algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks.

PICO is an algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks. It is developed by the Multi-Agent Artificial Intel

21 Dec 20, 2022
This repository provides some codes to demonstrate several variants of Markov-Chain-Monte-Carlo (MCMC) Algorithms.

Demo-of-MCMC These files are based on the class materials of AEROSP 567 taught by Prof. Alex Gorodetsky at University of Michigan. Author: Hung-Hsiang

Sean 1 Feb 05, 2022
Python sample codes for robotics algorithms.

PythonRobotics Python codes for robotics algorithm. Table of Contents What is this? Requirements Documentation How to use Localization Extended Kalman

Atsushi Sakai 17.2k Jan 01, 2023
Given a list of tickers, this algorithm generates a recommended portfolio for high-risk investors.

RiskyPortfolioGenerator Given a list of tickers, this algorithm generates a recommended portfolio for high-risk investors. Working in a group, we crea

Victoria Zhao 2 Jan 13, 2022
🧬 Performant Evolutionary Algorithms For Python with Ray support

🧬 Performant Evolutionary Algorithms For Python with Ray support

Nathan 49 Oct 20, 2022
Implementation of Apriori algorithms via Python

Installing run bellow command for installing all packages pip install -r requirements.txt Data Put csv data under this directory "infrastructure/data

Mahdi Rezaei 0 Jul 25, 2022
A tictactoe where you never win, implemented using minimax algorithm

Unbeatable_TicTacToe A tictactoe where you never win, implemented using minimax algorithm Requirements Make sure you have the pygame module along with

Jessica Jolly 3 Jul 28, 2022