rrodseth

  // Inspired by a tweet from @trautonen 1/13/2016
  // Use Source.unfoldAsync to turn paginated database results into an akka-streams Source
  // unfold is the inverse of fold

  case class Page[T](pageNumber:Long, totalPages:Long, contents:List[T])
  case class Thing(id: Long, name: String = "foo")
  
  val totalPages = 5 // 
  val pageSize = 3

marocchino

커피스크립트에서 바벨로 옮기기

이 글은 2015년의 루비 코리아 대림달력을 위해 작성되었습니다.

• 이전 글: 12월 3일: 심벌, 도대체 니 정체가 뭐야?
• 다음 글: 12월 5일: mac에 rbenv 사용해서 ruby 개발환경 세팅하기

루비 코리아의 대림 달력도 벌써 4일째입니다. 오늘은 루비 이야기는 아니긴 합니다만, 레일스와 관련있는 이야기를 해볼까 합니다.

crcastle

#include <SPI.h>
#include <nRF24L01.h>
#include <RF24.h>

#define DEVICE_ID 2
#define CHANNEL 1 //MAX 127
RF24 radio(15, 15);                // Set up nRF24L01 radio on SPI bus plus pins 7 & 8

// Topology
const uint64_t pipes[2] = { 0xFFFFFFFFFFLL, 0xCCCCCCCCCCLL };

branneman

Better local require() paths for Node.js

Problem

When the directory structure of your Node.js application (not library!) has some depth, you end up with a lot of annoying relative paths in your require calls like:

const Article = require('../../../../app/models/article');

Those suck for maintenance and they're ugly.

Possible solutions

jobliz

import redis
import threading

class Listener(threading.Thread):
    def __init__(self, r, channels):
        threading.Thread.__init__(self)
        self.redis = r
        self.pubsub = self.redis.pubsub()
        self.pubsub.subscribe(channels)
    

entaroadun

Movies Recommendation:

• MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
• Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
• Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
• Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/

Music Recommendation:

• Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html