Data and Clojure: Using Clojure for more than software development

on YouTube ↗27m

" summary

Clojure now claims practical parity for data work: recent libraries (many started in the last few years) plus JVM speed give real wins over Python/R for heavy lifts, and interoperability via libpython-clj and R bridges keeps existing models usable. Editor tooling includes Calva notebooks in VS Code (now ~40% of data scientists use VS Code), orchestration via DVC is supported, and the funded Clojure Data Cookbook plus study groups and a course supply example-driven learning.

AI-written summary · about

" chapters (6)

1. 0:00Introduction
2. 0:46State of Clojure
3. 3:09Tools for Data Science
4. 9:45Interoperation
5. 18:49Whats missing
6. 21:39Whats next

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