or learn more

On Lisp -> Clojure (Chapter 5)

Oct 24, 2008

; Chapter 5, entitled “Returning Functions”, is where we really start to see the power of functional programming. It is the types of problems outlined in the chapter where Clojure really shines. In fact, many of the functions created by Paul Graham in On Lisp are built into Clojure, as I will show below. ; […]

The languages of the next 1000 languages

Oct 22, 2008

The next 1000 languages will most likely be dynamic, or declarative, or pure, but most certainly increasingly functional, with type inference, or pattern matching, or algebraic data types, but most certainly a rich set of concurrent primitive and/or models… or more likely a combination of some or all of those things. The real question is, […]

Groovin’ with Scala

Oct 20, 2008 some comments

I have been attempting to introduce some low-ceremony programming tools and languages to my programming team at my job and thanks to a series of brown-bags and internal discussions have sold Scala for use in an upcoming project. It wasn’t functional programming, type-inference, case classes, or even the Actor Model that was the biggest win […]

nil, nothing, and notset

Oct 15, 2008 some comments

One of the more nagging elements of Java programming (and programming in general) is that there is a coarseness to the representation of the conditions nil, nothing, and notset. In Java, one typically uses null to represent all three of these conditions and the semantics for the actual meaning lies in the secret incantation of […]

On Lisp -> Clojure (Chapter 4)

Oct 8, 2008 some comments

; As always, I will post when the code is “complete”, but my progress can be followed on Github. Also, this post is executable, just copy and paste into a Clojure REPL. Posts in this series: ch. 2, ch. 2 redux, ch. 3, ch. 4, ch. 5 ; pg. 42 ;; PG defines a general […]

Continue << >>