On May 30th, I had the pleasure of presenting at the MinneAnalytics Data Tech Conference
with @KatieKodes. Our talk was on “Evangelizing Python for Business”. Here is
the summary of the talk:
Python’s simple structure has been vital to the democratization of data science.
But as the field rushes forward, making splashy headlines about specialized new jobs,
everyday Excel users remain unaware of the value that elementary building blocks
of Python for data science can bring them at the office.
Join us for a conversation about bringing Python out of IT and into the business.
We’ll share challenges and successes from writing tutorials, teaching classes,
and advocating adoption among new users.
I really enjoyed the presentation and received a lot of positive feedback.
As a result, I wanted to capture some of the ideas in a post so that the broader
community could see it and generate some dialog on tips and techniques that
have worked for you. The actual content in this blog is closely tied to our
presentation but contain some additional idea and thoughts that I may want to expand
on in future posts.