https://blog.turboawesome.win/tags/functional-programming/ Recent content in Functional-Programming on Bits, Trades & Systems Hugo en-us Thu, 01 Mar 2018 09:44:00 +0000 https://blog.turboawesome.win/2018/03/two-years-of-clojure-in-production-honest-retrospective/ Thu, 01 Mar 2018 09:44:00 +0000 https://blog.turboawesome.win/2018/03/two-years-of-clojure-in-production-honest-retrospective/ After two years maintaining and extending Clojure services in a financial environment, what worked, what didn't, and what I'd carry forward. https://blog.turboawesome.win/2017/08/persistent-data-structures-are-not-just-for-functional-purists/ Wed, 16 Aug 2017 13:07:00 +0000 https://blog.turboawesome.win/2017/08/persistent-data-structures-are-not-just-for-functional-purists/ Clojure's persistent data structures — immutable, structurally shared — seemed academic until we used them in a concurrent risk system. The concurrency model they enable is genuinely simpler than the lock-based alternative. https://blog.turboawesome.win/2016/11/clojure-data-pipelines-transducers-in-production-risk-processing/ Wed, 23 Nov 2016 13:55:00 +0000 https://blog.turboawesome.win/2016/11/clojure-data-pipelines-transducers-in-production-risk-processing/ Transducers are Clojure's answer to pipeline composition that works without creating intermediate collections. For production data processing where allocation matters, they're not a theoretical nicety — they're genuinely useful. https://blog.turboawesome.win/2016/04/why-the-risk-team-chose-clojure-and-why-it-made-sense/ Tue, 05 Apr 2016 14:17:00 +0000 https://blog.turboawesome.win/2016/04/why-the-risk-team-chose-clojure-and-why-it-made-sense/ A Lisp in a large financial institution sounds like a punchline. The reasoning behind the decision was more principled than the stereotype suggests.