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@swalkinshaw
swalkinshaw / tutorial.md
Last active November 13, 2023 08:40
Designing a GraphQL API
@alvinj
alvinj / sbtmkdirs.sh
Last active January 24, 2024 19:39
A shell script to create an SBT project directory structure
#!/bin/bash
#------------------------------------------------------------------------------
# Name: sbtmkdirs
# Version: 1.5
# Purpose: Create an SBT project directory structure with a few simple options.
# Author: Alvin Alexander, http://alvinalexander.com
# License: Creative Commons Attribution-ShareAlike 2.5 Generic
# http://creativecommons.org/licenses/by-sa/2.5/
#------------------------------------------------------------------------------
@rklaehn
rklaehn / Proxy.scala
Created January 31, 2015 16:29
Minimal akka http proxy
package akkahttptest
import akka.actor.ActorSystem
import akka.http.Http
import akka.stream.FlowMaterializer
import akka.http.server._
import akka.http.marshalling.PredefinedToResponseMarshallers._
import akka.stream.scaladsl.{HeadSink, Source}
object Proxy extends App {
@davisford
davisford / Setup MongoDB on localhost as Replica Set
Last active March 6, 2024 21:40
Setup MongoDB replica set on local host with only a single primary
Add the `replication` section to the mongod.conf file:
```
$cat /usr/local/etc/mongod.conf
systemLog:
destination: file
path: /usr/local/var/log/mongodb/mongo.log
logAppend: true
storage:
engine: mmapv1
@debasishg
debasishg / gist:8172796
Last active March 15, 2024 15:05
A collection of links for streaming algorithms and data structures

General Background and Overview

  1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
  2. Models and Issues in Data Stream Systems
  3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
  4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
  5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
@xem
xem / codegolf.md
Last active March 22, 2024 15:41
JS code golfing

codegolf JS

Mini projects by Maxime Euzière (xem), subzey, Martin Kleppe (aemkei), Mathieu Henri (p01), Litterallylara, Tommy Hodgins (innovati), Veu(beke), Anders Kaare, Keith Clark, Addy Osmani, bburky, rlauck, cmoreau, maettig, thiemowmde, ilesinge, adlq, solinca, xen_the,...

(For more info and other projects, visit http://xem.github.io)

(Official Slack room: http://jsgolf.club / join us on http://register.jsgolf.club)

@hfreire
hfreire / qemu_osx_rpi_raspbian_jessie.sh
Last active March 24, 2024 14:35
How to emulate a Raspberry Pi (Raspbian Jessie) on Mac OSX (El Capitan)
# Install QEMU OSX port with ARM support
sudo port install qemu +target_arm
export QEMU=$(which qemu-system-arm)
# Dowload kernel and export location
curl -OL \
https://github.com/dhruvvyas90/qemu-rpi-kernel/blob/master/kernel-qemu-4.1.7-jessie
export RPI_KERNEL=./kernel-qemu-4.1.7-jessie
# Download filesystem and export location
@john2x
john2x / 00_destructuring.md
Last active April 23, 2024 13:18
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

@simme
simme / Install_tmux
Created October 19, 2011 07:55
Install and configure tmux on Mac OS X
# First install tmux
brew install tmux
# For mouse support (for switching panes and windows)
# Only needed if you are using Terminal.app (iTerm has mouse support)
Install http://www.culater.net/software/SIMBL/SIMBL.php
Then install https://bitheap.org/mouseterm/
# More on mouse support http://floriancrouzat.net/2010/07/run-tmux-with-mouse-support-in-mac-os-x-terminal-app/

Quick Tips for Fast Code on the JVM

I was talking to a coworker recently about general techniques that almost always form the core of any effort to write very fast, down-to-the-metal hot path code on the JVM, and they pointed out that there really isn't a particularly good place to go for this information. It occurred to me that, really, I had more or less picked up all of it by word of mouth and experience, and there just aren't any good reference sources on the topic. So… here's my word of mouth.

This is by no means a comprehensive gist. It's also important to understand that the techniques that I outline in here are not 100% absolute either. Performance on the JVM is an incredibly complicated subject, and while there are rules that almost always hold true, the "almost" remains very salient. Also, for many or even most applications, there will be other techniques that I'm not mentioning which will have a greater impact. JMH, Java Flight Recorder, and a good profiler are your very best friend! Mea