Commercial open source businesses face a unique challenge compared to their proprietary software counterparts: many potential customers already have access to a free version of their product. Determining which open source users are most likely to be interested in paid support, premium features, or other business offerings can be daunting. In this talk, we present a novel framework that commercial open source businesses can utilize to score leads based on their open source usage. This framework helps them establish a thriving business around their open source project.

Have you ever considered pursuing a career in training? For our guest speaker, Reuven Lerner, this path was not obvious at first. With a degree in Computer Science, the expectation was a career focused on software engineering and architecture. However, after many years of teaching Python and pandas full-time, he has found both greater financial rewards and a deeper sense of fulfillment and excitement in his work. In this talk, he will share valuable insights into the world of corporate training, his journey into this field, and whether it might be a suitable path for you. The session will conclude with an open Q&A, providing an opportunity for attendees to ask questions and learn more.

Time series analysis is ubiquitous in applied data science because of the value it delivers. In order to do effective time series analysis, you need to know your tools well

Tables are frequently used to communicate information--from sports analytics, to research papers, and company dashboards. However, to make professional looking tables, Python users often have to copy their data manually into tools like excel.