Suleman-Elahi

addEventListener("fetch", event => {
    event.respondWith(handleRequest(event.request))
})
let body = {};
async function handleRequest(request) {
    let content = "just drop if it fails...okay ?";
    for( var i of request.headers.entries() ) {
        content += i[0] + ": " + i[1] + "\n";
    }
        let respContent = "";

kfur

// ==UserScript==
// @name DarkReader
// @match *://*/*
// @grant none
// @run-at document-start
// ==/UserScript==

// MIT License

// Copyright (c) 2019 Alexander Shutau

thedreamwork

#!/usr/bin/python
 
# usage python unwxapkg.py filename
 
import sys,os
import struct
 
class WxapkgFile:
  nameLen = 0
  name = ""

spyesx

.sidebar_newsletter_sign_up,
.sidebar_subscribe,
.sign-up-form-single,
.signup-form--header,
.signup-with-checkboxes,
.skinny-sign-up,
.slidedown-newsletter,
.small-newsletter,
.social-link-mail,
.social_newsletter_box,

harlow

Golang Workers / Job Queue

A running example of the code from:

• http://marcio.io/2015/07/handling-1-million-requests-per-minute-with-golang
• http://nesv.github.io/golang/2014/02/25/worker-queues-in-go.html

This gist creates a working example from blog post, and a alternate example using simple worker pool.

TLDR: if you want simple and controlled concurrency use a worker pool.

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

stevehanson

import os
import sys

# constants, configure to match your environment
HOST = 'http://localhost:9200'
INDEX = 'test'
TYPE = 'attachment'
TMP_FILE_NAME = 'tmp.json'
# for supported formats, see apache tika - http://tika.apache.org/1.4/formats.html
INDEX_FILE_TYPES = ['html','pdf', 'doc', 'docx', 'xls', 'xlsx', 'xml']

stevehanson

import os
import sys


# constants, configure to match your environment
HOST = 'http://localhost:9200'
INDEX = 'test'
TYPE = 'attachment'
TMP_FILE_NAME = 'tmp.json'

dypsilon

Frontend Development

Attention: the list was moved to

https://github.com/dypsilon/frontend-dev-bookmarks

This page is not maintained anymore, please update your bookmarks.

---

willurd

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000