Is NodeJs faster than Clojure?
I just started learning Clojure. One of the first things I noticed is that there are no loops. That's OK, I can recur. So let's look at this function (from Practical Clojure): (defn add-up "Adds up numbers from 1 to n" ([n] (add-up n 0 0)) ([n i sum] (if (< n i) sum (recur n (+ 1 i) (+ i sum))))) To achieve the same function in Javascript, we use a loop like so: function addup (n) { var sum = 0; f
Using `line-seq` with `reader`, when is the file closed?
I'm reading lines from a text file using (line-seq (reader "input.txt")). This collection is then passed around and used by my program. I'm concerned that this may be bad style however, as I'm not deterministically closing the file. I imagine that I can't use (with-open (line-seq (reader "input.txt"))), as the file stream will potentially get closed before I've traversed the entire sequence. Shoul
Compojure binds HTTP request params from URL, but not from a POST form
Compojure does not bind the fields in a POST form. This is my route def: (defroutes main-routes (POST "/query" {params :params} (debug (str "|" params "|")) "OK...") ) When I post a form with fields in it, I get |{}|, i.e. there are no parameters. Incidentally, when I go http://localhost/query?param1=value1, params is not empty, and the values get printed on the server console. Is there another bi
Better alternative to pmap in Clojure for parallelizing moderately inexpensive functions over big data?
Using clojure I have a very large amount of data in a sequence and I want to process it in parallel, with a relatively small number of cores (4 to 8). The easiest thing to do is use pmap instead of map, to map my processing function over the sequence of data. But the coordination overhead results in a net loss in my case. I think the reason is that pmap assumes the function mapped across the data
How many threads does Clojure's pmap function spawn for URL-fetching operations?
If you check the source you see: > (use 'clojure.repl) > (source pmap) (defn pmap "Like map, except f is applied in parallel. Semi-lazy in that the parallel computation stays ahead of the consumption, but doesn't realize the entire result unless required. Only useful for computationally intensive functions where the time of f dominates the coordination overhead." {:added "1.0"} ([f coll] (let [n (
Comparing Clojure books - Stack Overflow
Currently [April 5 2010] there is (afaik) one completed Clojure book available: Programming Clojure by Stuart Halloway. Two are being written and partially available at Manning: The Joy of Clojure by Fogus and Houser Clojure in Action by Amit Rathore Another one is about to be published in May: Practical Clojure (The Definitive Guide) by Luke Van der Hart UPDATE [28th of May 2010]: Practical Cloj
leiningen with multiple main classes
I'd like to have two main classes (or more) with leiningen, and then be able to choose which one at the java command line. For example I have: (ns abc (:gen-class)) (defn -main [] (println "abc")) (ns def (:gen-class)) (defn -main [] (println "def")) With a project.clj having: (defproject my-jar "0.0.1" :description "test" :dependencies [ ] :main abc) Then I build with lein uberjar, and run: java
In Clojure, when should we use a monad instead of a macro and vice-versa?
There are too many tutorials out there on monads that say... "Look! here is a case where we can use a monad" or "This is what a monad is for". What I want to know is what are some of the steps that people use to come to the conclusion that they can say to themselves - "Gee Whiz! It looks like we can use a monad here!" So when someone tells me... "(blah) has nothing to do with a monad...", it reall
Clojure, Lein, JavaFx, native deps
I've created a simple Clojure and JavaFX example on Github. Testing on Ubuntu I had to install the JavaFX runtime into my local Maven repository, using the deploy:deploy-file target (install:install-file did not work for me). mvn deploy:deploy-file -DgroupId=local.oracle -DartifactId=javafxrt -Dversion=2.2.0 -Dpackaging=jar -Dfile=/usr/lib/jvm/java-7-oracle-amd64/jre/lib/jfxrt.jar -Durl=file:/home
What is the data structure behind Clojure's sets?
I recently listened to Rich Hickey's interview on Software Engineering Radio. During the interview Rich mentioned that Clojure's collections are implemented as trees. I'm hoping to implement persistent data structures in another language, and would like to understand how sets and Clojure's other persistent data structures are implemented. What would the tree look like at each point in the followin
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What is the best way to do GUIs in Clojure?
In Clojure 1.3, How to read and write a file
What are the differences between Clojure, Scheme/Racket and Common Lisp?
In Clojure, when should I use a vector over a list, and the other way around?
Clojure REST API Frameworks
Comparison of Clojure web frameworks