jwbee

Make Ubuntu packages 90% faster by rebuilding them

TL;DR

You can take the same source code package that Ubuntu uses to build jq, compile it again, and realize 90% better performance.

Setting

I use jq for processing GeoJSON files and other open data offered in JSON format. Today I am working with a 500MB GeoJSON file that contains the Alameda County Assessor's parcel map. I want to run a query that prints the city for every parcel worth more than a threshold amount. The program is

JuanMiguelGM

# install this as pre-requisite
brew install bluetoothconnector
brew install switchaudio-osx

# In automator, create a new "Quick Action" Shell Script with no input and in any application: 
# mac and name for the airpods can be found executing: BluetoothConnector

set -e

mac=0c-3b-50-96-75-34

idelem

javascript:(function() {

function copyToClipboard(text) {
    if (window.clipboardData && window.clipboardData.setData) {
        /*IE specific code path to prevent textarea being shown while dialog is visible.*/
        return clipboardData.setData("Text", text); 

    } else if (document.queryCommandSupported && document.queryCommandSupported("copy")) {
        var textarea = document.createElement("textarea");
        textarea.textContent = text;

robertoestivill

###############
# Step 0: 
# Disclaimer
#
# RAM DISK ARE VOLATILE. YOU WILL LOOSE DATA IF POWER IS INTERRUPTED.
# 


###############
# Step 1: 

yogthos

Introductory resources

• High level overview https://yogthos.github.io/ClojureDistilled.html
• An Animated Introduction to Clojure https://markm208.github.io/cljbook/
• Interactive tutorial in a browser https://tryclojure.org/
• Interactive exercises http://clojurescriptkoans.com/
• Clerk notebooks with introductory examples https://github.clerk.garden/anthonygalea/notes-on-clojure
• More interactive exercises https://4clojure.oxal.org/
• Lambda Island tutorials https://lambdaisland.com/
• Functional Programming with Clojure resources https://practicalli.github.io/

jaawerth

; gist doesn't know what fennel is so let's say clj
; vi: ft=clojure
(set hs.logger.defaultLogLevel "info")
(local {:application app :hotkey hotkey} hs)

; use the SpoonInstall Spoon easy installing+loading of Spoons
(hs.loadSpoon :SpoonInstall)
(local install (. spoon :SpoonInstall))

; for window sizing, use the WIndowHalfsAndThirds Spoon until I can write something custom

kittinunf

# Regex for Kotlin
--langdef=kotlin
--langmap=kotlin:+.kt
--langmap=kotlin:+.kts
--regex-kotlin=/^[[:space:]]*((abstract|final|sealed|implicit|lazy|inner|open)[[:space:]]*)*(private[^ ]*|protected)?[[:space:]]*class[[:space:]]+([[:alnum:]_:]+)/\4/c,classes/
--regex-kotlin=/^[[:space:]]*((abstract|final|sealed|implicit|lazy)[[:space:]]*)*(private[^ ]*|protected)?[[:space:]]*object[[:space:]]+([[:alnum:]_:]+)/\4/o,objects/
--regex-kotlin=/^[[:space:]]*((abstract|final|sealed|implicit|lazy|open)[[:space:]]*)*(private[^ ]*|protected)?[[:space:]]*((abstract|final|sealed|implicit|lazy)[[:space:]]*)*data class[[:space:]]+([[:alnum:]_:]+)/\6/d,data classes/
--regex-kotlin=/^[[:space:]]*((abstract|final|sealed|implicit|lazy)[[:space:]]*)*(private[^ ]*|protected)?[[:space:]]*interface[[:space:]]+([[:alnum:]_:]+)/\4/i,interfaces/
--regex-kotlin=/^[[:space:]]*type[[:space:]]+([[:alnum:]_:]+)/\1/T,types/
--regex-kotlin=/^[[:space:]]*((abstract|final|sealed|implicit|lazy|override|open|private[^ ]*(\[[a-z]*\])*|protected)[[

jimfoltz

require 'webrick'
require 'fileutils'

BIND_ADDRESS = "127.0.0.1"
PORT = 8080

BACKUP_DIR = 'bak'

if ARGV.length != 0
    root = ARGV.first.gsub('\\', '/')

mtnygard

{:paths ["." "src" "test"]
 :deps {expound                    {:mvn/version "0.8.4"}
        clansi                     {:mvn/version "1.0.0"}
        cider/cider-nrepl          {:mvn/version "0.24.0"}
        refactor-nrepl             {:mvn/version "2.5.0"}
        com.bhauman/rebel-readline {:mvn/version "0.1.4"}}}

djspiewak

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