While Python has been a popular and powerful language for scientific computing for a while now, its future in the broader data analytics realm is less clear, especially as market forces and technological innovation are rapidly transforming the field.
In this talk, Peter will introduce some new perspectives on "Big Data" and the evolution of programming languages, and present his thesis that Python has a central role to play in the future of not just scientific computing, but in analytics and even computing in general. As part of the discussion, many new libraries, tools, and technologies will be discussed (both Python and non-Python), both to understand why they exist and where they are driving technical evolution.
The goal is not to merely provide the audience with a new narrative about Python and data analytics. Rather, hopefully everyone will feel motivated to be proactive in evolving the language ecosystem and nurturing its adoption, in ways that will best ensure its long-term relevance and improve the field of computational analytics.