brandonb927

#!/bin/sh

###
# SOME COMMANDS WILL NOT WORK ON macOS (Sierra or newer)
# For Sierra or newer, see https://github.com/mathiasbynens/dotfiles/blob/master/.macos
###

# Alot of these configs have been taken from the various places
# on the web, most from here
# https://github.com/mathiasbynens/dotfiles/blob/5b3c8418ed42d93af2e647dc9d122f25cc034871/.osx

tanepiper

Following the news about Facebook buying Instagram I decided to delete my Instagram account before Facebook claims ownership of my pictures.
Since the Instagram-recommended (in their FAQ): http://instaport.me/export doesn't work for me (probably they can't cope with the high demand), 
here is a quick and dirty way to download all my Instagram pictures in their highest resolution in a few easy steps.

You will need: Firefox, Firebug, some text editor, wget

1. Go to http://statigr.am/yourlogin using Firefox with Firebug extension active
2. Scroll down as many times as it is needed to have all yor pictures thumbnails displayed (I had some 3 hundred pictures so it was not that much scrolling, YMMV)
3. In the Firebug JS console run this JS code:    $(".lienPhotoGrid a img").each(function(index) { console.log($(this).attr('src')) })
4. JS console will contain urls to all the thumbnails images, like this: http://distilleryimage1.s3.amazonaws.com/4ed46cf2801511e1b9f1123138140926_5.jpg

christianchristensen

package twitterfindname

import (
	"encoding/json"
	"fmt"
	"io/ioutil"
	"net/http"
	"strings"
)

nihilistzsche

Pet (for Mage, Hunter, and Warlock):

dmKTcaGivLgfr5uivZcj0TqL2fsPHjshtPSmG6zc10GY1a02aY3ayCkvNdLSoKGdIuSqKOhQkIjQkQUisQnkO(OQqgjrvojrvTsuXlvLuZuvuUPQa7ef(PQQgksYsvv4PunvqDvvfTvvr6RQs5TQsYDvLO9k9xbzWqoSqwSQeEmrMmuDzfBgv9zrmAu0PvYRvfQzlWTbz3i(nLgUQklNWZf10jDDk2orLVRkvJxvqNhLA)QC3kCDO641XlCDdrfRKKru46sMSAHQZBis6YsKr)qIrncYHuHzo0qWRwxmjllbM9VPoKfFcQ)W)885rB4DWXXBy7yXaWybCpDV8CXWQZ(ppFE0gMlaaaacalDheywGbdai4YZfdy9fEDQgToKfFccXUH5celflEBheR4DGBBXGkpxGy1FFHRmldqX71fwnsxwszaooToXablwjjJixgB1zoReMAddcilaPG2bXcmRnSnaGkpxS46QyLKmIcxxz)BQlzYQfQUKjRwONBer6YsQZBis6YsKr)4COdDOd92e9yAmIOmTIjzzj5x9LQr)(sAftYYsOfYIpbuWh9tYsL993OFPFOJZHo0HoKyuJGCOukMECgcEDjtwTqHyUWN6sMSAHQlzYQfQoVHiPllrg9JZHo0Ho0I)qYoevbrShbCuWq0WIiOHcYp7mTVtKr)q0pKYCihsmQrqoKkmZX5qh6qhAi4hNHGxFKBiAUo1pLrO)1Lmz1cfsz)BQpYneTA9aBeEHRBYtiPGOCUVOUWgmfUoKjqxfUA16sbr5CHRdzc0vHR)aAEe1LY6VrZhp7)tEDPSU8(Kbm1FukRwTA1656I4uW1LRm2WstR2c

Player:

dSdOcaGEPQ0UauBtQ4NOcZMqpJu9yk6UsLQBd0HjPDsk2RYUrz)QmkuLHjPFt0PLYqrfnyKgoGCqPk6ue4yQQZHk9Cq(lP0xjr1YrSivrpv0YuLwNQqtuQsMkLmziMU

Farfarer

// Wizard to convert a cubemap to an equirectangular cubemap.
// Put this into an /Editor folder
// Run it from Tools > Cubemap to Equirectangular Map

using UnityEditor;
using UnityEngine;

using System.IO;

class CubemapToEquirectangularWizard : ScriptableWizard {

aras-p

// Just before switching jobs:
// Add one of these.
// Preferably into the same commit where you do a large merge.
//
// This started as a tweet with a joke of "C++ pro-tip: #define private public",
// and then it quickly escalated into more and more evil suggestions.
// I've tried to capture interesting suggestions here.
//
// Contributors: @r2d2rigo, @joeldevahl, @msinilo, @_Humus_,
// @YuriyODonnell, @rygorous, @cmuratori, @mike_acton, @grumpygiant,

rubinovitz

from datetime import datetime
import urllib2
import urllib
import json
import os

def ajaxRequest(url=None):
	"""
	Makes an ajax get request.
	url - endpoint(string)

aras-p

Icon fonts:

• http://weloveiconfonts.com/
• http://www.entypo.com/ https://gist.github.com/pnull/4510484
• http://fortawesome.github.io/Font-Awesome/
• http://somerandomdude.com/work/open-iconic/
• http://pfefferle.github.io/openwebicons/

Usage:

debasishg

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

kevin-smets

Default

Powerlevel10k