svpino

import cv2
import numpy as np
from matplotlib import pyplot as plt

image = cv2.imread("building.jpg")
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

horizontal_edges = cv2.filter2D(image, -1, np.array([
    [-1, -2, -1], 
    [ 0,  0,  0], 

offchan42

ATTENTION PLEASE

This gist has been moved to https://github.com/offchan42/machine-learning-curriculum

Please see that repository instead because you can make pull requests there and later updates will be pushed there too.

===

Machine Learning Curriculum

sudhirkhanger

Competitions:-

    https://www.kaggle.com/
    https://www.hackerearth.com/

Books:-

    Introduction to Algorithms By Thomas H Cormen
    Pattern Recognition and Machine Learning By Christopher M. Bishop
    Freakonomics By Steven D. Levitt and Stephen J. Dubner

diegopacheco

import paramiko

k = paramiko.RSAKey.from_private_key_file("YOUR_PEM_FILE.pem")
c = paramiko.SSHClient()
c.set_missing_host_key_policy(paramiko.AutoAddPolicy())
c.connect( hostname = "ec2-1-1-1-1.us-west-2.compute.amazonaws.com", username = "ec2-user", pkey = k )

stdin , stdout, stderr = c.exec_command("hostname")
print("stdout: " + stdout.read())
print("stderr" + stderr.read())

karimkhanp

Bigdata is like combination of bunch of subjects. Mainly require programming, analysis, nlp, MLP, mathematics. 

To see links, Go : http://www.quora.com/What-are-some-good-sources-to-learn-big-data
Here are bunch of courses I came accross:

Introduction to CS Course
Notes: Introduction to Computer Science Course that provides instructions on coding.
Online Resources:
Udacity - intro to CS course,
Coursera - Computer Science 101

shockalotti

package main
 
import "fmt"
 
func swap(px, py *int) {
	tempx := *px
	tempy := *py
	*px = tempy
	*py = tempx
}

adamwiggins

Make it real

Ideas are cheap. Make a prototype, sketch a CLI session, draw a wireframe. Discuss around concrete examples, not hand-waving abstractions. Don't say you did something, provide a URL that proves it.

Ship it

Nothing is real until it's being used by a real user. This doesn't mean you make a prototype in the morning and blog about it in the evening. It means you find one person you believe your product will help and try to get them to use it.

Do it with style

yoavram

# pdfx usage: http://pdfx.cs.man.ac.uk/usage
# requests docs: http://docs.python-requests.org/en/latest/user/quickstart/#post-a-multipart-encoded-file
import requests # get it from http://python-requests.org or do 'pip install requests'

url = "http://pdfx.cs.man.ac.uk"

def pypdfx(filename):
  '''
	Filename is a name of a pdf file WITHOUT the extension
	The function will print messages, including the status code,

tott

#!/usr/bin/env python
"""
Produces load on all available CPU cores
"""

from multiprocessing import Pool
from multiprocessing import cpu_count

def f(x):
    while True: