High Performance Data With Clojure

High Performance Data With Clojure Information Guide

1. Overview to High Performance Data With Clojure
2. Important Facts
3. Recent Updates
4. Deep Dive
5. Final Thoughts

Overview to High Performance Data With Clojure

This talk was recorded at Lambda Days in June 2025. If you're curious about our upcoming event, check The London Clojurians are happy to present: Title: ** The London Clojurians are happy to present: Title: TMD 7.0 - Higher Scientific computing has generally been restricted to procedural and object-oriented programming languages, such as C/C++, ... A presentation by Rich Hickey to the Western Mass. Developers Group on ... about dtype-next, an array abstraction and processing library that lies at the basis of the emerging

The London Clojurians are happy to present: Title: Java Interop

Important Facts

Recent Updates

"Clojure for Data Science in the Real World" by Kira McLean

Dressed up performance in Clojure - Ben Sless - reClojure 2021

Scientific Computing with Clojure - Kyle Harrington

"High Performance Clojure" by Chris Nuernberger

Clojure Where it Counts: Tidying Data Science Workflows - Pier Federico Gherardini & Ben Kamphaus

Clojure Concurrency - Rich Hickey

re:Clojure 2021 workshop: Wrangling arrays with dtype-next by David Sletten

Clojure Records and Protocols tutorial

Java Interop Performance (by Alex Miller)

Deep Dive

Data is compiled from public records and verified media reports.

Last Updated: June 16, 2026

Final Thoughts

Disclaimer: Disclaimer: Details estimates are based on publicly available data, media reports, and financial analysis. Actual numbers may vary.