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Roman Levitas's Projects

blackjack icon blackjack

Complete, object oriented, terminal based implementation of blackjack game with 13 rspec unit tests.

conference-central icon conference-central

A scalable, cloud-based API server that supports a conference organization application using Google Cloud Platform aka Google App Engine (GAE). The API supports user authentication, user profiles, conference information, and various manners in which to query the conference data.

deployment_cycle icon deployment_cycle

An interface that allows users to view and share timelines which coordinates the release cycle of their product around β€˜events’. Different teams can filter these events by tags (i.e. Dev, Test, Q/A, Release) to view events and documentation pertinent to their role.

flask-restaurant-app icon flask-restaurant-app

A Web App created using Flask to display a list of Restaurants and their menus from a db.

guitar-catalog icon guitar-catalog

A web application for a Guitar Catalog using Python, Flask as the framework, SQLalchemy as the ORM, and a pysqlite database

meetups-in-space icon meetups-in-space

meetups.com mock. Using ActiveRecord to store meetups & users and their membership for meetups.

npm-elm-rails icon npm-elm-rails

A Rails plugin for using Elm files with the asset pipeline.

pantry_pickup icon pantry_pickup

Combining city data with a list of specific needs from food pantries will allow citizens to most effectively make useful and needed donations assisted by the Pantry Pick-Up App.

react_map_app icon react_map_app

visualizing car trip json on interactive map using speed to scale marker size & color

readable icon readable

Udacity Redux project, post/comment site

ruby-codecademy-exercises icon ruby-codecademy-exercises

This repo contains completed exercises used in Codecademy's Ruby class. It is a great introduction to the language & covers topics including: syntax, data-structures, methodsVSblocksVSprocsVSlambdas, and finishes w/ object oriented basics.

smartcab icon smartcab

Udacity Machine Learning: Train a Smartcab to Drive (Project 4)

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