kamalbanga

kamalbanga

from random import choices, sample
from statistics import mean

def common_birthday(k):
    '''Generate k independent uniformly random birthdays & check if there are any repeats'''
    birthdays = choices(range(1, 366), k=k)
    return len(set(birthdays)) != k

>>> mean(common_birthday(23) for _ in range(10000))
0.4979

kamalbanga

kamalbanga

sudo apt-get install python-pip python-dev build-essential
sudo pip install --upgrade pip
sudo pip install --upgrade gensim

kamalbanga

from random import randint
from random import uniform, gauss

def gaussian(mu, sigma = 0.1):
	prob = gauss(mu, sigma)
	if prob < 0:
		return 0.0
	elif prob > 1:
		return 1.0
	else:

kamalbanga

tr -cs A-Za-z '\n' |
tr A-Z a-z |
sort |
uniq -c |
sort -rn |
sed ${1}q

kamalbanga

Latency Comparison Numbers
--------------------------
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
Send 1K bytes over 1 Gbps network        10,000   ns    0.01 ms
Read 4K randomly from SSD*              150,000   ns    0.15 ms

kamalbanga

SBT

echo "deb http://dl.bintray.com/sbt/debian /" | sudo tee -a /etc/apt/sources.list.d/sbt.list

sudo apt-get update

sudo apt-get install sbt

Java

kamalbanga

import scala.io._
import java.util.zip.{Inflater, Deflater}
import java.io.{File, FileOutputStream}

object App {

  def compress(inData: Array[Byte]): Array[Byte] = {
    var deflater: Deflater = new Deflater()
    deflater.setInput(inData)
    deflater.finish

kamalbanga

#include <iostream>
#include <vector>

using namespace std;

int main() {

    int n;
    cin >> n;