Python has been growing in popularity pretty dramatically over the last five, 10 years. It seems like not only is it still relevant and popular, but that popularity and relevance is growing. I think part of that is expanding into different areas, like the adoption of Python and the data science space. How do you trade off sort of serving these different environments?