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Clojure for Finance


Clojure for Finance

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Editorial Reviews

About the Author

Timothy Washington

Timothy Washington is a senior software developer with over 15 years of experience in designing and building enterprise web applications from end to end. His experience includes delivering stable, robust software architectures to organizations ranging from start-ups to Fortune 500 companies. His skills include managing agile projects, systems analysis and design, functional programming, DSL and language design, and object-oriented design, with contributions to the open source community.

Product details

  • Publisher ‏ : ‎ Packt Pub Ltd (January 31, 2016)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 188 pages
  • ISBN-10 ‏ : ‎ 1785289284
  • ISBN-13 ‏ : ‎ 978-1785289286
  • Item Weight ‏ : ‎ 11.8 ounces
  • Dimensions ‏ : ‎ 7.5 x 0.4 x 9.25 inches
  • Customer Reviews:

Customer reviews

1 out of 5 stars
3 global ratings

Top reviews from the United States

Reviewed in the United States on June 11, 2016
Bought and returned. How many chapters can we have dealing with the refactoring of a random price generator? The editing was poor, as there are numerous errors, and why on earth would you switch font sizes in code snippets? Makes it all but unreadable.
2 people found this helpful
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Reviewed in the United States on July 26, 2017
Should at least contribute an implementation of a Wiener process.
Reviewed in the United States on January 14, 2017
Clojure and Finance should be a good match but this book does a disservice to that pairing.
Supposedly written for finance professionals, it never moves beyond random numbers, moving averages, SMA and Bolinger bands. No credit or risk modelling, Monte Carlo Simulation or portfolio aggregation; all of which clojure is great at.

It assumes little or no knowledge of clojure on the readers part. A finance professional with no clojure experience would be much better served with a general language book like The The Joy of Clojure and with some clojure experience Henry Garner's Clojure for Data Science.

We need a book with this title but this is not the right book.

Examples in the book had numerous errors, functions with unused args and not single reference to transducers which is one of the killer features that makes clojure great for finance.
3 people found this helpful
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