I hereby claim:
- I am khyrulimam on github.
- I am khairulimam (https://keybase.io/khairulimam) on keybase.
- I have a public key ASB9tQwIEy_EnWa1GCQJw1iRKcDcvDqHsgwAhVBO7m3Gygo
To claim this, I am signing this object:
I hereby claim:
To claim this, I am signing this object:
from numpy.linalg import svd | |
import numpy | |
d1 = "Shipment of gold damaged in a fire" | |
d2 = "Delivery of silver arrived in a silver truck" | |
d3 = "Shipment of gold arrived in a truck" | |
docs = [d1,d2,d3] | |
tokenized_doc = [d.lower().split() for d in docs] |
from lsirina.lsi.similarity import calc_similarity | |
d1 = "Shipment of gold damaged in a fire" | |
d2 = "Delivery of silver arrived in a silver truck" | |
d3 = "Shipment of gold arrived in a truck" | |
query = "gold silver truck" | |
docs = [d1,d2,d3] | |
tokenized_doc = [d.split() for d in docs] |
import random | |
population = [random.randint(70, 100) for n in range(100)] | |
def comparePopulationMeanAndSampleMean(population, numberOfSample): | |
populationMean = sum(population)/population.__len__() | |
random.shuffle(population) | |
sample = population[:numberOfSample] | |
sampleMean = sum(sample)/sample.__len__() | |
print "population mean: %s \nsample mean: %s" % (populationMean, sampleMean) |
#!/usr/bin/python3 | |
import requests | |
import os | |
import argparse | |
import shutil | |
def download(): | |
ap = argparse.ArgumentParser() | |
ap.add_argument('-u', '--username', required=True, help='username yout want to download') | |
ap.add_argument('-d', '--directory', required=False, help='Directory location for images') |
var omTeloletOm = { | |
lowBoundFreq: 300, //initial frequency value | |
upperBoundFreq: 800, | |
freqState: this.lowBoundFreq, | |
init: function() { | |
context = new(window.AudioContext || window.webkitAudioContext)(); | |
oscilator = context.createOscillator(); | |
oscilator.type = 'sawtooth'; | |
oscilator.frequency.value = this.lowBoundFreq; | |
gain = context.createGain(); |
import cv2 as cv | |
from matplotlib import pyplot as plt | |
#load image | |
rgb_image = cv.imread('images/bebek_imut.jpg') | |
#see the output | |
rgb_image | |
#print rgb_image's shape |