A presentation on how to write an API and the code for a Python client that abstracts the Google Storage and Prediction API processes, so that you can incorporate prediction into your application with just a few lines of code. The presentation contains a link to the source on Google Code.
Presented by Patrick Chanezon during the Asian leg of DevFest tour.
Jul 11, 2010, 8:45 AM
Sergii Kauk
ċ
Google Maps: Beyond the Classroom (Presentation) View
Presented to RMIT University School of BIT, this lecture covers basics of Google Maps with a focus on how to create compelling content for your audience. Contains links to popular geo datasets. This lecture should be paired with the workshop. Questions? Email me leon(at)gouletsas.com
Presented to RMIT University School of BIT, this workshop has two components. First is a very simple map with basic placemark features. Second is a more complicated MarkerClusterer example. Teaches usability, customisation and geo data storage techniques (JS, JSON). Questions? Email leon(at)gouletsas.com
Introduction to GTUG Melbourne, Android, Google Earth View
Presented at the first GTUG Melbourne meeting. Overview on GTUG, Android and Google Earth. Missing some related content. Email me at leon(at)gouletsas.com for further files.
A presentation by Ralph Yozzo at the New York City GTUG. An Android application that uses Maps, Search, and Prediction to find Real Estate. It uses the Python Prediction API client that was the subject of a presentation at last month's GTUG. Download the app from the Android market place.
You download tweets, separate them into interesting and uninteresting, perform a naive Bayesian transformation to classify the, query Google Books and write the results to Google Docs.
This was presented at the New York City GTUG as the first in a series dealing with the internals of Google App Engine. It is an introduction to BigTable internals.
