Code from Problem Solving with Algorithms and Data Structures using Python

Implementation of FPTree-Growth and Apriori-Algorithm for finding frequent patterns in Transactional Database.

This repository supplements a mobile app on algorithm and data structure visualization, providing code for the concepts demonstrated in the app. It's an essential resource for users seeking to understand and explore these implementations in detail.

A python dictionary that uses Redis as in-memory storage backend to facilitate distributed computing applications development.

NumPy vectorized hash table for fast set and dict operations.

Implementation of Distributed hash table - Chord Protocol

An audio search algorithm that can recognise any audio clip in it's database by listening to 5 seconds recording

Data Structures And Algorithms

Polyglot Data Structures/Algorithms. Collection of classic computer science data-structures: LinkList, Queue/Stack, Binary Tree, Hashmap, Graph and the sorts: bubble, insertion, merge, quicksort. Whiteboarded and originally written in Python, then ported to Java, Node and Golang.

A tool to get the Security Hash Algorightms (SHA) of all files in a given path into a JSON formatted file.

Data structures & Algorithms implementation in Python/Java.

Generate precomputed hash tables from large wordlists.

A hashmap implemented in Python without using a hashmap primitive.

This repository is managed by LeetPush extension: https://github.com/husamahmud/LeetPush

Jeremy's Implementation of some of the most used data structures in Python 🐍

The web search engine was a try to make a mini version of the other popular search web searches engines such as Google, Bing, or YouTube. The web search engine that we built is developed using various data structures to perform efficiently to result accurately. First of all, we collected the web pages using web crawler using python. The web craw…

my progress of LeetCode questions collections - created using [LeetHubV2]

Hash table and dictionary class implementation using lists and double-linked lists.

This project is a Python-based mini search engine that crawls web pages, indexes the content, and provides search functionalities based on keyword proximity and frequency. It leverages various data structures such as hash tables and min-heaps to efficiently manage and retrieve data.

A collection of Python implementations of various data structures