lu911

import re, urllib, httplib, time

class Mining(object):
    r = re.compile(ur'class="score_reple">\s*<p>(.*?)</p>')
    def __init__(self, code):
        positive = []
        negative = []
        for page in range(1,2):
            [positive.append(data) for data in self.get_data(code, 'highest', page)]
            time.sleep(2)

benelog

안드로이드 개발에서 많은 비중을 차지하는 UI패턴은 ListView에서 여러 이미지를 보여주는 Activity입니다. 전형적인 흐름을 정리하면 아래와 같습니다.

​1. 목록조회 API호출

​2. API를 파싱하고 ListView에 데이터를 보여 줌.

​3. 각 아이템마다의 이미지 주소로 다시 서버를 호출

​4. 이미지를 디코딩하고 ImageView에서 보여줌.

felipecsl

sudo kill `ps -ax | grep 'coreaudiod' | grep 'sbin' |awk '{print $1}'`
# or...
sudo killall coreaudiod

dergachev

OS X Screencast to animated GIF

This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.

Instructions

To capture the video (filesize: 19MB), using the free "QuickTime Player" application:

jasdeepkhalsa

// Long Polling (Recommened Technique - Creates An Open Connection To Server ∴ Fast)
(function poll(){
    $.ajax({ url: "server", success: function(data){
        //Update your dashboard gauge
        salesGauge.setValue(data.value);
    }, dataType: "json", complete: poll, timeout: 30000 });
})();

jaytaylor

#!/usr/bin/env python

"""
Convert camel-case to snake-case in python.

e.g.: CamelCase -> snake_case

Relevant StackOverflow question: http://stackoverflow.com/a/1176023/293064
"""

rgreenjr

-- show running queries (pre 9.2)
SELECT procpid, age(clock_timestamp(), query_start), usename, current_query 
FROM pg_stat_activity 
WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%' 
ORDER BY query_start desc;

-- show running queries (9.2)
SELECT pid, age(clock_timestamp(), query_start), usename, query 
FROM pg_stat_activity 
WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%' 

npinto

import cv2
import cv2.cv as cv


def detect(img, cascade_fn='haarcascades/haarcascade_frontalface_alt.xml',
           scaleFactor=1.3, minNeighbors=4, minSize=(20, 20),
           flags=cv.CV_HAAR_SCALE_IMAGE):

    cascade = cv2.CascadeClassifier(cascade_fn)
    rects = cascade.detectMultiScale(img, scaleFactor=scaleFactor,

iros

Title

<Additional information about your API call. Try to use verbs that match both request type (fetching vs modifying) and plurality (one vs multiple).>

• URL

  <The URL Structure (path only, no root url)>

• Method:

ibeex

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