yahiabakour Goto Github PK

algorithms-in-cplusplus

Algorithms & Data Structures implemented in C++

algorithms-in-python

Common Algorithms I built for fun

apiv3-nodejs-library

SendinBlue's API v3 Node.js Library

comparative-study---advanced-data-structures

Comparative study of advanced data structures featuring Scapegoat Trees and Randomized binary search trees, this includes the implementation of libraries for both indexing data structures as well as a performance review using a United States Zipcode Database

fast_arrow

A simple yet robust (stock+options) API client for Robinhood -- Currently Editing for my own purposes and project

firefly

Web app boilerplate for beginners based on Firebase and React 🔥

greenhouse-api-docs

Documentation for Greenhouse Software's APIs

head

🗿 A list of everything that *could* go in the head of your document

iexcloud_api_wrapper

iexcloud api wrapper written in typescript (asynchronous interface)

macd

FinTech utility to calculate MACD, the Moving Average Convergence / Divergence.

monsters-react-test

multiscaleedgedetection

Parallelizing Multiscale Edge Detection code in C++ using openACC, openMPI, and FFT Convolutions.

react-firebase-hooks

React Hooks for Firebase.

softwareminiproject

Senior Design Mini Project - A Web app hosted on Google Cloud that describes what the UI for global temperature sensors would look like. Project was built using python & flask, Mongo DB, DarkSky API, Google Places API, and Google Oauth 2 login.

spoiled4you.work

A web-app that will allow the user to schedule spoilers to be sent to their friends. Tech used includes Flask, Jinja-2/HTML/CSS/jQuery, remote MySQL DB, Ubuntu, and Google Cloud Github Link

tulipnode

Tulip Node is the official node.js wrapper for Tulip Indicators. It provides over 100 technical analysis overlay and indicator functions.

twitter-weather-bot

utility-data-viewer

whereyagoin

Easier and more convenient travel style is a trending type of travel by differing individuals with differing request. Acquiring knowledge of city information for entertainment, attraction and culture while traveling becomes more and more important by the day. Our project is complemented by python with Flask interface and Google Places and Yelp APIs. It provides customers various information and recommendation sub-list about their travel destination.