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>'

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

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 {

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"));

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.

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;

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 {

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 Tue, 06 Dec 2016 17:06:46 GMT till Wed, 06 Dec 2017 17:06:46 GMT.

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)