Please log in to watch this conference skillscast.
Sharing experience gained from his work on a mission-critical data product earlier this year, Henry will speak about some newer features of Clojure that enable data scientists to write concise, expressive and performant data processing code. He’ll explore transducers and reducing functions, and show how simple functional combinators can make even sophisticated analytical code both faster and easier to comprehend.
YOU MAY ALSO LIKE:
Expressive parallel analytics with Clojure
Henry Garner is a freelance data engineer working primarily in Clojure. He’s author of the Packt book 'Clojure for Data Science' and managed to squeeze the buzzwords 'big data' and 'machine learning' onto the cover. And also into this biography.