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"Clojure in the Fintech Ecosystem" by Philip Cooper
Discover how Clojure's unique features, such as immutability and concurrency, make it a robust fit for the fintech ecosystem, and learn about the libraries and solutions developed to manage complex financial data.
- Clojure’s strengths in finance are its immutability, concurrency, and functional programming features.
- The financial industry is notorious for being dirty and noisy, making it a good fit for Clojure’s robustness.
- Clojure’sepoch and unreliable, but it’s a great problem for Clojure’s maturity.
- Library to manage funding is challenging due to the complexity and provided a solution in Clojure.
- Some libraries like: Tablecloth, TechML, Dataset and Datomic.
- Python libraries like Pandas is also used for financial data, but Clojure is a better fit for immunization and concurrency.
- A large bank’s closure presentation was impressive and surprisingly with such ease.
- Experience with Clojure shows that it leaves a good impression on new and existing developers.
- Financial data is complex and have to navigate and structure it correctly.