(webinar) Hadley Wickham -- The Joy of Functional Programming (for Data Science)

"Hadley Wickham is a statistician from New Zealand who is currently Chief Scientist at RStudio and an adjunct Professor of statistics at the University of Auckland, Stanford University, and Rice University."
-- source: Wikipedia

Hadley Wickham http://hadley.nz/ is also author of the highly influential open-source book "Advanced R" http://adv-r.had.co.nz/ and "ggplot2: Elegant Graphics for Data Analysis" https://www.amazon.com/dp/0387981403/ref=cm_sw_su_dp?tag=ggplot2-20.

"Functional programming (FP) provides a rich set of tools for reducing duplication in your code. The goal of FP is to make it easy to express repeated actions using high-level verbs. I think that learning a little about FP is really important for data scientists, because it's a really good fit for many problems that you'll encounter in practice.

In this talk, I'll introduce you to the basics of functional programming in R, using the purrr package. I'll begin by briefly dissecting the for loop that you're already familiar with, then continue to show why functional programming provides elegant alternatives. I'll next dive into two examples showing where FP is particularly useful in data science: when ingesting unruly datasets spread across multiple files, and producing multiple reports for different stakeholders.

You'll get the most out of this talk if you're familiar with R, or you've done data science in other languages like Python."
-- source: ACM Learning Center

You can find more information about the event or register independently
here:
https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&partnerref=bull1&eventid=1983331&sessionid=1&key=2E3ABDB53B10C0F40202EA58E8AC4EDA&regTag=&sourcepage=register

A recording of the webinar following the event will be available here:
https://learning.acm.org/techtalks-archive