  As scientific work becomes more computational and data intensive, research
processes and results become more difficult to interpret and reproduce. In this
poster, we show how the Jupyter notebook, a tool originally designed as a free
version of Mathematica notebooks, has evolved to become a robust tool for
scientists to share code, associated computation, and documentation.
