This document outlines steps for developing analytic applications using Apache Spark and Python. It covers prerequisites for accessing flight and weather data, deploying a simple data pipe tool to build training, test, and blind datasets, and using an IPython notebook to train predictive models on flight delay data. The agenda includes accessing necessary services on Bluemix, preparing the data, training models in the notebook, evaluating model accuracy, and deploying models.