lalabear

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看美劇，提供迅雷下載連結 http://kanmeiju.net/

迅雷離線，代抓檔案 http://lixian.vip.xunlei.com/task.html

付費

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

crizCraig

import json
import os
import time
import requests
from PIL import Image
from StringIO import StringIO
from requests.exceptions import ConnectionError

def go(query, path):
  """Download full size images from Google image search.

vmihailenco

class LoggingMixin(object):
    def dispatch(self, request_type, request, **kwargs):
        logger.debug(
            '%s %s %s' %
            (request.method, request.get_full_path(), request.raw_post_data))

        try:
            response = super(LoggingMixin, self).dispatch(
                request_type, request, **kwargs)
        except (BadRequest, fields.ApiFieldError), e:

reorx

#!/usr/bin/python
# -*- coding: utf-8 -*-

import chardet


BROTHER_ENCODINGS = [
    ('GB2312', 'GBK', 'GB18030'),
]

anderser

class CachedModelResource(ModelResource):

    def create_response(self, *args, **kwargs):
        resp = super(CachedModelResource, self).create_response(*args, **kwargs)
        resp['Cache-Control'] = "max-age=600"
        return resp

hrldcpr

One-line Tree in Python

Using Python's built-in defaultdict we can easily define a tree data structure:

def tree(): return defaultdict(tree)

That's it!

henrik

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

bohde

from tastypie.fields import ListField

class TaggedResource(ModelResource):
    tags = ListField()
    
    class Meta:
        queryset = Model.objects.all()

    def build_filters(self, filters=None):
        if filters is None:

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