munificent

You appear to be advocating a new:

[ ] cloud-hosted [ ] locally installable [ ] web-based [ ] browser-based [ ] language-agnostic
[ ] language-specific IDE. Your IDE will not succeed. Here is why it will not succeed.

You appear to believe that:
[ ] Syntax highlighting is what makes programming difficult
[ ] Garbage collection is free
[ ] Computers have infinite memory
[ ] Nobody really needs:

tsiege

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






\

JimRoepcke

// Playground - noun: a place where people can play

import Cocoa

struct Regex {
    let pattern: String
    let expressionOptions: NSRegularExpressionOptions
    let matchingOptions: NSMatchingOptions
    
    init(pattern: String, expressionOptions: NSRegularExpressionOptions, matchingOptions: NSMatchingOptions) {

Jonty

The UK Houses of Parliament netblocks are publicly listed:

https://apps.db.ripe.net/db-web-ui/lookup?source=RIPE&type=inetnum&key=194.60.0.0%20-%20194.60.63.255 https://apps.db.ripe.net/db-web-ui/lookup?source=RIPE&type=inetnum&key=82.111.122.128%20-%2082.111.122.135 https://apps.db.ripe.net/db-web-ui/lookup?source=RIPE&type=inetnum&key=82.111.119.192%20-%2082.111.119.199 https://apps.db.ripe.net/db-web-ui/lookup?source=RIPE&type=inetnum&key=82.111.126.144%20-%2082.111.126.159 https://apps.db.ripe.net/db-web-ui/lookup?source=RIPE&type=inetnum&key=212.161.99.0%20-%20212.161.99.7

They were unwilling to reveal the UK parliament web proxies in an FOI request, so here's the list of every IP address that has made a Wikipedia edit from the UK parliament netblocks. Guess the proxies.

nylki

do androids dream of cooking?

The following recipes are sampled from a trained neural net. You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn Thanks to Andrej Karpathy for the great code! It's really easy to setup.

The recipes I used for training the char-rnn are from a recipe collection called ffts.com And here is the actual zipped data (uncompressed ~35 MB) I used for training. The ZIP is also archived @ archive.org in case the original links becomes invalid in the future.

levelsio

<?
/////////////////////
// slack2html
// by @levelsio
/////////////////////
//
/////////////////////
// WHAT DOES THIS DO?
/////////////////////
//

wichmann.py

try: 
  #Wir brauchen aktuelle Versionen von BeautifulSoup und Requests
	from bs4 import BeautifulSoup;
	import requests 
	import shutil

	# Scrapen wir mal los
	n = 24 #Hier wirfst du die Anzahl der Seiten rein, die eine Kategorie hat (siehst du in der Pagination) 
	#(Mir ist voll und ganz bewusst, dass man dass auch einfach aus der Seite scrapen könnte, aber das
	#war zeitlich recht sinnlos)

willwhitney

import requests
import sys
from datetime import datetime, timedelta
import pytz
from PIL import Image
from StringIO import StringIO
import os
import logging

# python himawari.py

hkan

0⃣   0, keycap, zero
1⃣   1, number, one
🕜   1, 30, clock, time, one, thirty, 1:30, one-thirty
🕐   1, clock, time, one, 00, o’clock, 1:00, one o’clock
2⃣   2, number, two
🕝   2, 30, clock, time, two, thirty, 2:30, two-thirty
🕑   2, clock, time, two, 00, o’clock, 2:00, two o’clock
3⃣   3, keycap, three
🕞   3, 30, three, clock, time, thirty, 3:30, three-thirty
🕒   3, three, clock, time, 00, o’clock, 3:00, three o’clock

publik-void

Should numbering start at 0 or 1?

Arguments for 1-based indexing and/or against 0-based indexing

• The number which denotes the index of an element is equal to the number one would get by counting up to (and including) that element.

• We are very used to labeling elements with their corresponding count number. This means 1-based indexing has a lot of inertia in our everyday lives and we