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

endolith

# https://github.com/matplotlib/matplotlib/issues/881
# Several of the ColorBrewer maps are "qualitative", meaning
# they are just a group of colors that can be used together 
# for categories of data.  So I remapped Accent to segments 
# instead of continuous:

# Actually, these should be used with ListedColormap, and 
# the number of colors should depend on the number of 
# categories in the data, with colors removed from the 
# list in a certain order?

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

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:

dergachev

Taken from http://moinne.com/blog/ronald/mysql/backup-large-databases-with-mysqldump

Also consider testing if system gzip supports --rsyncable and using that in script, might greatly speed up rsyncs.

sebdah

import threading
import time


class ThreadingExample(object):
    """ Threading example class

    The run() method will be started and it will run in the background
    until the application exits.
    """

ZevEisenberg

osascript -e 'tell application "iOS Simulator" to quit'
osascript -e 'tell application "Simulator" to quit'
xcrun simctl erase all

wenzhixin

# install openjdk
sudo apt-get install openjdk-7-jdk

# download android sdk
wget http://dl.google.com/android/android-sdk_r24.2-linux.tgz

tar -xvf android-sdk_r24.2-linux.tgz
cd android-sdk-linux/tools

# install all sdk packages

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

ksharsha

ffmpeg -i data/video.mp4 -vcodec h264 -b:v 1000k -acodec mp2 data/output.mp4