paulmillr

Most active GitHub users (git.io/top)

The count of contributions (summary of Pull Requests, opened issues and commits) to public repos at GitHub.com from Wed, 21 Sep 2022 till Thu, 21 Sep 2023.

Only first 1000 GitHub users according to the count of followers are taken. This is because of limitations of GitHub search. Sorting algo in pseudocode:

githubUsers
 .filter(user => user.followers > 1000)

benjchristensen

import java.util.concurrent.Callable;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Future;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;

public class FuturesA {

    public static void run() throws Exception {

benjchristensen

import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Future;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;

jeremyfelt

Open Source Search Comparison

Elasticsearch

• Main Web: http://www.elasticsearch.org/
• Development URL: https://github.com/elasticsearch/elasticsearch
• License: Apache 2
• Environment: Java

Elasticsearch was created in 2010 by Shay Banon after forgoing work on another search solution, Compass, also built on Lucene and created in 2004.

antirez

<?
require("redis.php");
require("json.php");

$term = $_GET['term'];

$r = new Redis("127.0.0.1","6379");
$r->connect();
$items = $r->zrangebylex("kernel","[$term","[$term\xff",Array("LIMIT","0","10"));

magicznyleszek

CSS Selectors Cheatsheet

Hi! If you see an error or something is missing (like :focus-within for few years :P) please let me know ❤️

Element selectors

Element -- selects all h2 elements on the page

h2 {

Integralist

When deciding between Memcached and Redis, here are a few questions to consider:

• Is object caching your primary goal, for example to offload your database? If so, use Memcached.
• Are you interested in as simple a caching model as possible? If so, use Memcached.
• Are you planning on running large cache nodes, and require multithreaded performance with utilization of multiple cores? If so, use Memcached.
• Do you want the ability to scale your cache horizontally as you grow? If so, use Memcached.
• Does your app need to atomically increment or decrement counters? If so, use either Redis or Memcached.
• Are you looking for more advanced data types, such as lists, hashes, and sets? If so, use Redis.
• Does sorting and ranking datasets in memory help you, such as with leaderboards? If so, use Redis.
• Are publish a

dongweiming

# coding=utf-8
# Note:
#     1. 使用Redis缓存用户信息，减少重复调用
#     2. 只通过用户的location字段看是否包含beijing、shanghai、guangzhou、
#        shenzhen、china这几个关键词判断是否是国人
from collections import defaultdict
import redis
import requests

USENAME = '<YOUR USERNSME>'