Paras Sharma Parassharmaa

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

Title

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URL

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

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.

How to run Express inside an Electron app

You can run your Express app very easily inside your Electron app.

All you need to do is to:

place all the files of your Express app inside a new app folder in your_electron_app\resources\app
reconfigure the app.js file
refactor some relative pathes in your Express app

	# 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?

	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

	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.
	"""

	# 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

	"""
	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)

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