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@richhickey
richhickey / bintree.clj
Created March 17, 2011 13:01
Binary Tree benchmark for Clojure 1.3
;; The Computer Language Benchmarks Game
;; http://shootout.alioth.debian.org/
;
;; Adapted from the Java -server version
;
;; contributed by Marko Kocic
;; modified by Kenneth Jonsson, restructured to allow usage of 'pmap'
;; modified by Andy Fingerhut to use faster primitive math ops, and
;; deftype instead of defrecord for smaller tree nodes.
;; https://github.com/jafingerhut/clojure-benchmarks/blob/master/binarytrees/binarytrees.clj-4.clj modified by RH for 1.3
@michiakig
michiakig / ants.clj
Created July 19, 2011 22:37
Clojure ant sim from Rich Hickey
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; Ant sim ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
; Copyright (c) Rich Hickey. All rights reserved.
; The use and distribution terms for this software are covered by the
; Common Public License 1.0 (http://opensource.org/licenses/cpl.php)
; which can be found in the file CPL.TXT at the root of this distribution.
; By using this software in any fashion, you are agreeing to be bound by
; the terms of this license.
; You must not remove this notice, or any other, from this software.
;dimensions of square world
@ryanb
ryanb / issues_with_modules.md
Created November 29, 2012 22:38
Points on how modules can make code difficult to read.

My issues with Modules

In researching topics for RailsCasts I often read code in Rails and other gems. This is a great exercise to do. Not only will you pick up some coding tips, but it can help you better understand what makes code readable.

A common practice to organize code in gems is to divide it into modules. When this is done extensively I find it becomes very difficult to read. Before I explain further, a quick detour on instance_eval.

You can find instance_eval used in many DSLs: from routes to state machines. Here's an example from Thinking Sphinx.

class Article < ActiveRecord::Base
@jackrusher
jackrusher / gist:5139396
Last active August 20, 2025 06:41
Hofstadter on Lisp: Atoms and Lists, re-printed in Metamagical Themas.

Hofstadter on Lisp

In the mid-80s, while reading through my roommate's collection of Scientific American back issues, I encountered this introduction to Lisp written by Douglas Hofstadter. I found it very charming at the time, and provide it here (somewhat illegally) for the edification of a new generation of Lispers.

In a testament to the timelessness of Lisp, you can still run all the examples below in emacs if you install these aliases:

(defalias 'plus #'+)
(defalias 'quotient #'/)
(defalias 'times #'*)
(defalias 'difference #'-)
@marcelog
marcelog / generic_proxy.erl
Last active October 1, 2023 16:15
Quick and small tcp proxy written in erlang. Opens a socket and listens for incoming connections. For every new incoming connection, it will open a connection to the proxied host, and send whatever it gets from either side to the other.
-module(generic_proxy).
-export([run/0]).
-define(PORT_FROM, 63790).
-define(PORT_TO, 6379).
-define(BACKLOG, 10000).
run() ->
{ok, Socket} = gen_tcp:listen(0, [
@jamesyang124
jamesyang124 / ruby_meta.md
Last active August 1, 2025 02:53
Ruby meta programming

Ruby Metaprogramming Guide

Note: This guide works with Ruby 2.6+ through Ruby 3.x, with modern Ruby 3.x features highlighted where applicable. Core metaprogramming concepts remain consistent across Ruby versions.

This document has been collaboratively updated and modernized through an interactive process with Claude Code, revised with examples, visual diagrams, and Ruby 3.x compatibility.

Table of Contents

  1. Key Concepts
  2. Self
@staltz
staltz / introrx.md
Last active September 25, 2025 07:30
The introduction to Reactive Programming you've been missing
@john2x
john2x / 00_destructuring.md
Last active September 24, 2025 00:52
Clojure Destructuring Tutorial and Cheat Sheet

Clojure Destructuring Tutorial and Cheat Sheet

(Related blog post)

Simply put, destructuring in Clojure is a way extract values from a datastructure and bind them to symbols, without having to explicitly traverse the datstructure. It allows for elegant and concise Clojure code.

Vectors and Sequences

(require '[clojure.core.async :as a])
(def xform (comp (map inc)
(filter even?)
(dedupe)
(flatmap range)
(partition-all 3)
(partition-by #(< (apply + %) 7))
(flatmap flatten)
(random-sample 1.0)
@gbuesing
gbuesing / ml-ruby.md
Last active August 2, 2025 18:34
Resources for Machine Learning in Ruby

UPDATE a fork of this gist has been used as a starting point for a community-maintained "awesome" list: machine-learning-with-ruby Please look here for the most up-to-date info!

Resources for Machine Learning in Ruby

Gems