Sparkling Water allows users to combine the fast, scalable machine learning algorithms of H2O with the capabilities of Spark. With Sparkling Water, users can drive computation from Python/R/Scala and utilize the H2O Flow UI, providing an ideal machine learning platform for application developers. PySparkling Water is an integration of Python with Sparkling water. It allows user to start H2O services on a spark cluster from Python API. The speed, quality and ease of use and model-deployment, for the various cutting edge Supervised and Unsupervised algorithms like Deeplearning, Tree Ensembles and GLRM, makes H2O a highly sought after API for big data data science.