troyhunt

Length		Name
------		----
184		app_info_202209032248.csv
145		app_server_info_202209032248.csv
410		cookie_202209032248.csv
537		oauth_client_details_202209032247.csv
501		oauth_client_extend_202209032247.csv
55		open_sms_phone_202209032247.csv
76		open_sms_temp_202209032247.csv
106		record_add_order_202209032247.csv

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

gpittarelli

#!/usr/bin/env bash
# Port of https://github.com/tj/node-prune to bash
# Also, 
#   - fixed "*.ts" being overzealous and killing .d.ts files
#   - added some more file types from https://github.com/npm/npm/issues/5264#issuecomment-259800486
#
# See also:
#   - https://github.com/timoxley/cruft
#   - https://yarnpkg.com/en/docs/cli/autoclean
#   - https://github.com/ModClean/modclean

stephenreay

# -*- mode: ruby -*-
# vi: set ft=ruby

if File.exists?('./Vagrantfile.override.rb')
	require_relative './Vagrantfile.override.rb'
end

# Defaults for CPU and Memory
CPUS ||= 1
MEMORY ||= 1024

djspiewak

Getting Started in Scala

This is my attempt to give Scala newcomers a quick-and-easy rundown to the prerequisite steps they need to a) try Scala, and b) get a standard project up and running on their machine. I'm not going to talk about the language at all; there are plenty of better resources a google search away. This is just focused on the prerequisite tooling and machine setup. I will not be assuming you have any background in JVM languages. So if you're coming from Python, Ruby, JavaScript, Haskell, or anywhere…  I hope to present the information you need without assuming anything.

Disclaimer It has been over a decade since I was new to Scala, and when I was new to Scala, I was coming from a Java and Ruby background. This has probably caused me to unknowingly make some assumptions. Please feel free to call me out in comments/tweets!

One assumption I'm knowingly making is that you're on a Unix-like platform. Sorry, Windows users.

Getting the JVM

Rich-Harris

Stuff I wish I'd known sooner about service workers

I recently had several days of extremely frustrating experiences with service workers. Here are a few things I've since learned which would have made my life much easier but which isn't particularly obvious from most of the blog posts and videos I've seen.

I'll add to this list over time – suggested additions welcome in the comments or via twitter.com/rich_harris.

Use Canary for development instead of Chrome stable

Chrome 51 has some pretty wild behaviour related to console.log in service workers. Canary doesn't, and it has a load of really good service worker related stuff in devtools.

yoavniran

The Ultimate Unit Testing Cheat-sheet

---

• Sinon Chai
• Chai
• Sinon

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

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dat-vikash

//This shows an updated websocket example for play2.2.0 utilizing Concurrent.broadcast vs Enumerator.imperative, which 
// is now deprecated.

object Application extends Controller {

 def index =  WebSocket.using[String] { request =>

   //Concurernt.broadcast returns (Enumerator, Concurrent.Channel)
    val (out,channel) = Concurrent.broadcast[String]

jokull

# encoding=utf-8

import sys
import datetime
import email
import mimetypes
import os
import time
import gzip
import subprocess