jupyter – Open Source, Interactive Data Science and Scientific Computing Across Over 40 Programming Lanaguages
http://jupyter.org/

The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more. Jupyter features include: a) Language of choice – The Notebook has support for over 40 programming languages, including those popular in Data Science such as Python, R, Julia and Scala; b) Share notebooks – Notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer; c) Interactive widgets – Code can produce rich output such as images, videos, LaTeX, and JavaScript. Interactive widgets can be used to manipulate and visualize data in realtime; and d) Big data integration – Leverage big data tools, such as Apache Spark, from Python, R and Scala. Explore that same data with pandas, scikit-learn, ggplot2, dplyr, etc. This will be added to the tools section of Research Resources Subject Tracer™ Information Blog. This will be added to Script Resources Subject Tracer™.