Fast CPython extensions to Python standard library with focus on performance.

This project is a team assignment for the "Multimedia Systems" course, offered in the 6th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.

Heap queue algorithm implementation for Typescript based on heapq.py module from CPython

An array-based heap data structure with amortized const time insertion

Algorithms and Data Structures for Data Science and Machine Learning

Pop any value of the heap - not just the top element. Convenient feature for scheduling tasks.

🚦 Python's heap and priority queue library for JavaScript

Implementação da codificação de Huffman na compactação e descompactação de arquivos.

Master's | Basic Algorithms & Data structures | Module 8 | Heaps or Pyramids

An extension to standard Python's heapq for high performance applications

A simple yet efficient representation of a social network graph with python | Data Structures and Algorithms Course Project, Spring 2021

Code and analysis for building a search engine to retrieve and rank master's degrees. Implements data collection, preprocessing, inverted indexing, conjunctive queries, custom scoring, and map visualization.

🍂 Heap data structures for JavaScript

Visualization tool for various pathfinding algorithms and perfect maze generation.

Based on a set of temperatures, this program calculates the median temperature for every new temperature value. Implemented with PriorityQueues. One mode of program is interactive: provides user with command prompt to enter numeric values, then produces median for every new input. File mode reads values from file, then produces medians onto a ne…

This is a Python project that uses Tkinter to develop the front end of the application and Python to implement AI searches. This has a cool graphical interface and visualization to make the project look aesthetic.

This project is a team assignment for the "Multimedia Systems" course, offered in the 6th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.

Text Summarization is a very useful technique to get important parts of a large text document. This project uses word frequencies of the sentence and yield a score for each sentence.

A desktop app with GUI to find the shortest path between selected points on a map using tkinter, numpy, cv2, heapq, numba, and PIL