Algorithms and data structures for educational, demonstrational and experimental purposes.

Overview

Algorithms and Data Structures (ands)

Python 3.5+ Build Status Coverage Status Codacy Badge Packagist

Introduction

This project was created for personal use mostly while studying for an exam (starting in the month of June in 2015) of a previous course that I followed called Algorithms and Data Structures I decided to make it publicly available to use and modify, so that people with difficulties in understanding and applying these topics can take benefit from it.

I discourage every beginner from copying shamelessly the source code, but instead you should definitely give a chance to your brain and sense of challenge first! At the end, you will definitely feel a better and more serious programmer! If you really do not have any ideas on how to do something, try to read the comments next to each function and/or class (or even the code itself) that you are interested in. They are there for a reason!

Any suggestions to improve the code, or the design of an algorithm or data structure, or corrections are of course welcome. Feel free to open an issue.

Content

In this repository, you will find data structures, such as binary-search trees, and algorithms that often work on (those) data structures. You will also find some algorithms related to some particular design paradigm, for example algorithms related to the greedy or dynamic programming design paradigms.

Notes, warnings and "philosophy"

  • This is a work in progress, don't expect to find here all the data structures and algorithms you're searching. Consider to contribute to the quality and size of the project.

  • Again, mistakes are possible, even if decent tests are starting to being done. You can find them under the folder tests. So, as the license says, this project is provided "as is", etc.

  • No optimisation has been done to any algorithm or data structure. The purpose of the implementations is just for exposition of the concepts!

  • My intent is to continue to contribute to this repository in my free time, and new data structures and algorithms will therefore be added.

References

For each module I always try not to forget to specify the specific references that I used to implement the particular concept exposed in that module.

Apart from those, the following are the references which I always keep an eye on:

Resources

There many useful resources around the web to help you (and me) understand how certain algorithms or data structures work.

One curated list that I found useful which points to a bunch of other resources is the following:

Other resources that may be useful:

Python Client for Algorithmia Algorithms and Data API

Algorithmia Common Library (python) Python client library for accessing the Algorithmia API For API documentation, see the PythonDocs Algorithm Develo

Algorithmia 138 Oct 26, 2022
A Python program to easily solve the n-queens problem using min-conflicts algorithm

QueensProblem A program to easily solve the n-queens problem using min-conflicts algorithm Performances estimated with a sample of 1000 different rand

0 Oct 21, 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
Sorting-Algorithms - All information about sorting algorithm you need and you can visualize the code tracer

Sorting-Algorithms - All information about sorting algorithm you need and you can visualize the code tracer

Ahmed Hossam 15 Oct 16, 2022
This is a demo for AAD algorithm.

Asynchronous-Anisotropic-Diffusion-Algorithm This is a demo for AAD algorithm. The subroutine of the anisotropic diffusion algorithm is modified from

3 Mar 21, 2022
Classic algorithms including Fizz Buzz, Bubble Sort, the Fibonacci Sequence, a Sudoku solver, and more.

Algorithms Classic algorithms including Fizz Buzz, Bubble Sort, the Fibonacci Sequence, a Sudoku solver, and more. Algorithm Complexity Time and Space

1 Jan 14, 2022
Machine Learning algorithms implementation.

Machine Learning Algorithms Machine Learning algorithms implementation. What can I find here? ML Algorithms KNN K-Means-Clustering SVM (MultiClass) Pe

David Levin 1 Dec 10, 2021
Genetic algorithms are heuristic search algorithms inspired by the process that supports the evolution of life.

Genetic algorithms are heuristic search algorithms inspired by the process that supports the evolution of life. The algorithm is designed to replicate the natural selection process to carry generatio

Mahdi Hassanzadeh 4 Dec 24, 2022
This is an implementation of the QuickHull algorithm in Python. I

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

Anant Joshi 4 Dec 04, 2022
Planning Algorithms in AI and Robotics. MSc course at Skoltech Data Science program

Planning Algorithms in AI and Robotics course T2 2021-22 The Planning Algorithms in AI and Robotics course at Skoltech, MS in Data Science, during T2,

Mobile Robotics Lab. at Skoltech 6 Sep 21, 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
A lightweight, pure-Python mobile robot simulator designed for experiments in Artificial Intelligence (AI) and Machine Learning, especially for Jupyter Notebooks

aitk.robots A lightweight Python robot simulator for JupyterLab, Notebooks, and other Python environments. Goals A lightweight mobile robotics simulat

3 Oct 22, 2021
A calculator to test numbers against the collatz conjecture

The Collatz Calculator This is an algorithm custom built by Kyle Dickey, used to test numbers against the simple rules of the Collatz Conjecture. Get

Kyle Dickey 2 Jun 14, 2022
Exam Schedule Generator using Genetic Algorithm

Exam Schedule Generator using Genetic Algorithm Requirements Use any kind of crossover Choose any justifiable rate of mutation Use roulette wheel sele

Sana Khan 1 Jan 12, 2022
Benchmark for Robustness Tests of Control Alrogithms

A gym-like classical control benchmark for evaluating the robustnesses of control and reinforcement learning algorithms.

Kim Taekyung 4 Jan 18, 2022
Official implementation of "Path Planning using Neural A* Search" (ICML-21)

Path Planning using Neural A* Search (ICML 2021) This is a repository for the following paper: Ryo Yonetani*, Tatsunori Taniai*, Mohammadamin Barekata

OMRON SINIC X 82 Jan 07, 2023
Python Package for Reflection Ultrasound Computed Tomography (RUCT) Delay And Sum (DAS) Algorithm

pyruct Python Package for Reflection Ultrasound Computed Tomography (RUCT) Delay And Sum (DAS) Algorithm The imaging setup is explained in these paper

Berkan Lafci 21 Dec 12, 2022
A priority of preferences for teacher assignment problem

Genetic-Algorithm-for-Assignment-Problem A priority of preferences for teacher assignment problem Keywords k-partition; clustering; education 4.0 Abst

hades 2 Oct 31, 2022
ROS Basics and TurtleSim

Homework 1: Turtle Control Package Anna Garverick This package draws given waypoints, then waits for a service call with a start position to send the

Anna Garverick 1 Nov 22, 2021
Path finding algorithm visualizer with python

path-finding-algorithm-visualizer ~ click on the grid to place the starting block and then click elsewhere to add the end block ~ click again to place

izumi 1 Oct 31, 2021