Data science in Clojure: Almost Ready, Already Useful - with Daniel Slutsky

Note the special date and time! (Sunday, July 25th @ 2pm EST)

Boston Clojure Group is pleased to offer a presentation by Daniel Slutsky, co-organizer of Scicloj, an open-source community for data science in Clojure.

Agenda:
2:00 Pre-presentation hellos
2:15 Presentation, followed by Q&A (approximately 1 hr)
5 Minute Break
Post-presentation discussions, breakouts as warranted

Title:
Data science in Clojure: Almost Ready, Already Useful

Abstract:
The Clojure approach towards clear, simple, and playful reasoning may matter a lot for data science.

In the last couple of years, the Clojure ecosystem for data science has been maturing. Most common data science tasks already have excellent Clojure solutions. Just a little polish is still needed before the stack can be offered to any data scientist as a viable option that is fun, powerful, and friendly.

For Clojurians, the emerging stack can already offer a nice, refreshing toolset with cool ways to process, analyze, and visualize data. Arguably, this may be valuable for any Clojurian who has some data to explore.

In this talk, we will overview some of the current tools and libraries in this area, and get to know them through a REPL session, exploring a real-world data problem. We will also discuss some of the current hopes and challenges for the near future.

Basic familiarity with Clojure will be assumed. No background in data science is needed.

Bio:
Daniel Slutsky is a co-organizer of Scicloj, an open-source community for data science in Clojure. He currently works as a data scientist at Localize. Nowadays his main focus is Notespace, a tool for dynamically creating notebooks from any Clojure namespace.