NBAnalytics

This slide will go over NBAnalytics - a site that offers stats on NBA players, teams, and games.

Transcript

1. NBAnalytics.me by Group One
2. Meet the Team Oscar Ortiz Front-End Developer Tony Nguyen Full Stack Developer Basilio Bazan III Full Stack Developer John Mills LeMaire Full Stack Developer Pierce Kotarski Full Stack Developer Tyson Smiter Full Stack Developer
3. DEMO http://nbanalytics.me/
5. Critique of our Website • What did we do well? ◦ We were able to split up work evenly and got plenty done in a short amount of time. ◦ We made the website as modular as we could, keeping our code short and organized • What did we learn? ◦ Increase gunicorn timeouts for websites that don’t load ◦ Use tear up and tear down classes for the unit tests ◦ SQLAlchemy queries are very powerful tools • What can we do better? ◦ We could have gotten more data from previous season’s of basketball in the NBA. ◦ Split the frontend and backend into microservices • What puzzles us? ◦ Why we ran unit tests (typically a dev dependency) in production mode
6. Critique of GroupTwo - marveldb.me • What did they do well? ◦ Search implementation was well done as it updated in real-time with correct results. ◦ About page was well organized and dynamic, member cards that flipped, git commit pie-chart. • What did we learn from their website? ◦ We learned all about different characters and events in the marvel universe • What can they do better? ◦ Reduce some unnecessary information on the tables like ID and last modified. ◦ Distracting backgrounds take away from the data. • What puzzles us about their website? ◦ Why ‘enter the site’ as the main page? Would like to see a better looking first page or the home page right off the bat!
7. RUN THE UNIT TESTS http://nbanalytics.me/