A hot new data science technology is on the scene called Jupyter notebooks. This powerful, web based, Python driven, tool supports dynamic analytics in real time. Some features that will be demonstrated are support for multiple languages including R and Python, the ability to easily interface with big data tools like Spark, built-in rendering in GitHub, the ability to weave R and Python scripts together sharing data, server based collaboration with JupyterHub, and how to share your notebooks with others. Jupyter is THE hottest thing on the data science scene. In fact, Azure has built-in support for them. Come to this session and find out why.