Description
In 2017 there is structured data everywhere, and new data sources emerge each day. There are lots of Python tools for processing this data: Analytics, statistics, visualization, natural language processing, machine learning, etc. But recent experiments have demonstrated that there are untapped opportunities for innovation in new methods of providing users quick access to these disparate data sources, transforming that data, and streaming it into the wealth of existing Python tools. This talk will discuss some of those opportunities and demonstrate related, lesser-known, yet valuable community- based Python tools that have just recently emerged and are now available for free.