# pythonds3 **Repository Path**: hjlweilong/pythonds3 ## Basic Information - **Project Name**: pythonds3 - **Description**: No description available - **Primary Language**: Unknown - **License**: GPL-3.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-02-14 - **Last Updated**: 2025-02-14 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # pythonds3 [![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0) [![Supported Python versions](https://img.shields.io/pypi/pyversions/pythonds3)](https://img.shields.io/pypi/pyversions/pythonds3) [![PyPI version](https://badge.fury.io/py/pythonds3.svg)](https://badge.fury.io/py/pythonds3) [![Build Status](https://travis-ci.com/yasinovskyy/pythonds3.svg?branch=master)](https://travis-ci.com/yasinovskyy/pythonds3) [![codecov](https://codecov.io/gh/yasinovskyy/pythonds3/branch/master/graph/badge.svg)](https://codecov.io/gh/yasinovskyy/pythonds3) Data Structures package for _Problem Solving with Algorithms and Data Structures using Python_ by Brad Miller and David Ranum. The package is a supplement to [Problem Solving with Algorithms and Data Structures using Python](https://runestone.academy/runestone/static/pythonds/index.html). It contains implementations of basic data structures, searching and sorting algorithms, trees, and graphs. Some implementation details are intentionally left out and readers are encouraged to complete them on their own. ## Object-oriented programming - Typical class implementation - Use of getters, setters, and properties - Overriding _magic_ methods (len, str, contains etc) ## Basic data structures - Stack - Queue - Deque - Ordered linked list - Unordered linked list ## Searching - HashMap ## Sorting - Bubble sort - Selection sort - Insertion sort - Shell sort - Mergesort - Quicksort - Heapsort ## Trees - Binary tree - Binary search tree - AVL tree - Binary heap - Priority queue ## Graphs - Breadth first search - Depth first search - Dijkstra's shortest path algorithm - Bellman-Ford shortest path algorithm - Prim's spanning tree algorithm