Summary
A Bay Area inspired web application to simplify search for micro climate weather results by just entering a San Francisco neighborhood.
Developed in 3 weeks at the end of Hackbright Spring 2013.
For additional information on the development, checkout my blogpost at nyghtowl.io.
Technologies Used: Python, Flask, Postgres, SQLAlchemy, Weather Underground API, Forecast.io API, Google Places & Maps APIs, Twitter Bootstrap, Javascript, JQuery, WTForms
Screenshot Walkthrough
The first page of the app starts with just a search bar so you can enter the location you want the weather for.
I also added the ability for the user to enter a future date to search on but there is a limit of searching 4 days out.
While results are being pulled from Weather Underground and Forecast.io, I run an Ajax spinner.
The initial resulting view that is returned is just an image and temperature without all the details you find on some weather sites because I wanted a simple answer.
There is a link that expands with more weather details if the user wants them and it includes a Google Map to show the location of the search results as well as an overlay of surrounding areas.
