/falcon-search

A course search interface for NYU using the Schedge API

Primary LanguageJavaScript

Bobcat Logo

Bobcast Search is an course search frontend for the NYU community, created in React and Redux with data calls to Albert Liu's Schedge API backend. It aims to be faster, better designed, and more feature rich than the official NYU course search. Created by Ethan Printz, Evan Silverman, Khanh Nguyen and Albert Liu. Anyone is welcome to contribute to the project.

Setup

In the project directory, install packages by executing yarn, then yarn start to run the app locally.
Open http://localhost:3000 to view it in the browser.
The page will reload if you make edits.
You will also see any lint errors in the console.

Build

yarn build Builds the app for production to the build folder.
It correctly bundles React in production mode and optimizes the build for the best performance.