Benkaddour Racim's repositories
MatrixParser
A Python project implementing a matrix parser using PLY (Python Lex-Yacc). Recognizes and processes matrices with a specific syntax, offering flexibility and simplicity. Ideal for learning PLY in Python or as a foundation for advanced matrix-related applications.
-Control-Flow-Graph-Generator-A-Python-Tool-for-Visualizing-Program-Execution-Paths-
Python script that serves as a Control Flow Graph (CFG) generator.
Design-and-Implementation-of-Sophisticated-MarkDown-SMD-
This project aims to create a more advanced version of Markdown
digital-steganography-images
A Python-based tool for concealing confidential information within images.embed and extract data seamlessly, adding an extra layer of privacy to your images.
Distributed-Algorithms-Analysis
distributed algorithms for various network topologies, including tree-based election, flooding, broadcasting, saturation, and eccentricity calculations. This repository hosts Python implementations inspired by N. Santoro's 'Design and Analysis of Distributed Algorithms' (2006).
Hill-ADN-Cryptography-Bridging-Classical-Ciphers-with-DNA-Based-Encryption
The Hill-ADN Cryptography project combines Hill cipher methods with DNA encryption, offering a novel approach for improved data security. It includes binary to DNA conversion, amino acid translation, and Hill cipher encryption, with the decryption process addressing genetic code ambiguity challenges.
Inversion-Based-Sorting-With-Multiple-Solutions
Implementing sorting algorithms using inversion operations, aiming to minimize the number of inversions required for sorting any given array using search methods, including depth-first, breadth-first, random, and A* with custom heuristics, are employed to efficiently solve the inversion-based sorting problem
Java-RMI-A-Simple-Reverse-String-Example
The provided Java RMI (Remote Method Invocation) code demonstrates a simple example of reversing a string remotely. It consists of four main components:
Keylogger-and-System-Information-Gathering-Script
A Python script for educational and ethical purposes, acting as a basic keylogger and system information gatherer. Captures keypress events, logs active applications, takes screenshots, and collects system details. Use responsibly and ethically. Prohibited for malicious purposes.
Medical-Expert-System
An expert system using knowledge graphs that aims to provide the patients with medical advice and basic knowledge on various diseases
Multi-Agent-Ecosystem-Simulation
This repository contains a multi-agent ecosystem simulation developed using NetLogo. The simulation models the interactions between different agents in a simplified ecosystem, including cows, lions, a bull, and a dog.
PerlCodingToolkit
This repository contains a diverse collection of Perl scripts and utilities designed to assist developers in various aspects of programming and problem-solving.
PLY-Parser-for-Java-Files
PLY parser for Java files, supporting integer and boolean variables, arithmetic and logical operations, variable assignments, conditional statements, and simple looping.
SecureDLL-Insight
This script is like a detective for your computer. It looks at what programs are running, especially those using special files. It then asks an expert (VirusTotal) if these files are safe or not. The goal is to catch and report any suspicious or harmful activity on your computer.
Task-Tracker-
A simple task tracking application built using Python and Tkinter. The app allows users to input tasks along with their estimated completion time in minutes.
Yacc-Parser-Addition-Rules-and-Type-Checking
An educational Yacc parser implementation for the specified grammar, featuring Java-like addition rules and integrated type checking for assignment consistency. Explore code, examples, and tests to deepen your understanding of Yacc parsing and semantic analysis.
FIFO-Algorithm-in-C
Execution/Implementation of FIFO (First in First Out) Algorithm in C
LRU-Algorithm-in-C
Execution/Implementation of LRU (Least Recently Used) Algorithm in C
Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG