SirSaleh

import os
from PIL import Image


def set_watermark(photo, watermark):
	photo_size = photo.size
	watermark_size = watermark.size
	print(watermark_size)
	location = (0, int(photo_size[1]/1.3))
	b = int(photo_size[1] / 10)

SirSaleh

def rev(word):
  out = ""
  chars = [xx for xx in word]
  for char in chars:
    out = char + out
  
  return out


if __name__=='__main__':

SirSaleh

# need mvtnorm package
library("mvtnorm")
range = seq(-5,5,0.1)
mean = c(0,0)
Sigma = matrix(c(1, .5, .5, 1), 2)
out = matrix (rep(0,101*101),101)

for (i in 1:length(range)){
	for (j in 1:length(range)){
		out[i,j] = dmvnorm(c(range[i],range[j]),mean=mean,sigma=Sigma)

SirSaleh

\begin{flalign*}
        (\lambda+\gamma)^2 &= (a + b)^2&\\
        &= a^2 + b^2 + ab&\\
        &= a^2 + c^2&
\end{flalign*}

SirSaleh

\begin{flalign*}
      \lambda^2 &= (a + b)^2 &
\end{flalign*}

SirSaleh

\usepackage{amsmath}

SirSaleh

MCEstimator <- function(n = 10000){



	#circ counts number of samples which are in the circle!
	circ=0


	for (i in c(1:n)){
		x=runif(1,-1,1)

SirSaleh

#include<stdio.h>
#include<conio.h>
#include<stdlib.h>

//count_data();

void main()
{
   // calling function
   count_data();