acdha

javascript:(function(){(function(target,msg){var loader=function(){if(arguments.callee._executed)return;arguments.callee._executed=true;bidichecker.runGui(bidichecker.checkPage(document.dir=="rtl"));};var s=document.createElement('script');s.type="text/javascript";s.setAttribute('src',"//bidichecker.googlecode.com/svn/trunk/lib/bidichecker_packaged.js");if(s.addEventListener){s.addEventListener("load",loader,false);}else if("onreadystatechange" in s){s.onreadystatechange=function(){if(this.readyState=='complete'||this.readyState=='loaded'){loader();}};}else{window.setTimeout(loader(),2500);}document.getElementsByTagName('head')[0].appendChild(s);})();})();

oodavid

Deploy your site with git

This gist assumes:

• you have a local git repo
• with an online remote repository (github / bitbucket etc)
• and a cloud server (Rackspace cloud / Amazon EC2 etc)
  • your (PHP) scripts are served from /var/www/html/
  • your webpages are executed by apache
• apache's home directory is /var/www/

hellerbarde

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

suvozy

Launch an instance

http://docs.aws.amazon.com/AmazonVPC/latest/GettingStartedGuide/GetStarted.html

Security group

phpMyAdmin

Inbound

Type	Protocol	Port Range	Destination
SSH	TCP	22	0.0.0.0/0

justinvh

import sys
import numpy as np
from PIL import Image

binarized_text = sys.argv[1] if len(sys.argv) == 2 else 'text.png'

# Binarized (1-bit image)
data = np.array(Image.open(binarized_text))
Image.fromarray(np.uint8(data * 255)).show()

ralphbean

""" Messing around with scikit-learn.  """

import sys

import numpy as np
import scipy.sparse

import sklearn.linear_model
import sklearn.datasets
import sklearn.svm

tsiege

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






\

bsweger

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

syhw

"""
A deep neural network with or w/o dropout in one file.

License: Do What The Fuck You Want to Public License http://www.wtfpl.net/
"""

import numpy, theano, sys, math
from theano import tensor as T
from theano import shared
from theano.tensor.shared_randomstreams import RandomStreams

GilLevi

Age and Gender Classification using Convolutional Neural Networks

name: Age Classification CNN

caffemodel: age_net.caffemodel

caffemodel_url: https://github.com/GilLevi/AgeGenderDeepLearning/raw/master/models/age_net.caffemodel