anirudhjayaraman

import pylab
import numpy as np

def loadFile():
    inFile = open('julyTemps.txt')
    high = [];vlow = []
    for line in inFile:
        fields = line.split()
        if len(fields) != 3 or 'Boston' == fields[0] or 'Day' == fields[0]:
            continue

anirudhjayaraman

import pylab

def loadfile():
    inFile = open('julyTemps.txt', 'r')
    high =[]; low = []
    for line in inFile:
        fields = line.split()
        if len(fields) < 3 or not fields[0].isdigit():
            pass
        else:

anirudhjayaraman

Boston July Temperatures
-------------------------

Day High Low
------------

1 91 70
2 84 69
3 86 68
4 84 68

anirudhjayaraman

# load contents of text file into a list
# numList
NUMLIST_FILENAME = "IntegerArray.txt"
inFile = open(NUMLIST_FILENAME, 'r')

with inFile as f:
    numList = [int(integers.strip()) for integers in f.readlines()]
    
count = 0

anirudhjayaraman

#!/bin/python

import sys

def combinations_sum(n):
    k = n/2
    combs = []
    answers = []
    for i in range(0,k+1):
        a,b = i, n-i

anirudhjayaraman

% function to generate permutation matrices given the size of the desired permutation matrices
function x = permMatrices(n)
x = zeros(n,n,factorial(n));
permutations = perms(1:n);
for i = 1:size(x,3)
  x(:,:,i) = eye(n)(permutations(i,:),:);
end
endfunction

anirudhjayaraman

m =

ans(:,:,1) =

   0   1   0   0
   0   0   1   0
   1   0   0   0
   0   0   0   1

ans(:,:,2) =

anirudhjayaraman

ans(:,:,1) =

   0   1   0
   0   0   1
   1   0   0

ans(:,:,2) =

   0   0   1
   1   0   0

anirudhjayaraman

% Solution for part (a)
p = permMatrices(3);
n = size(p,3); % number of permutation matrices 
v = zeros(n,1); % vector of zeros with dimension equalling number of permutation matrices
% check for permutation matrices other than identity matrix with 3rd power equalling identity matrix
for i = 1:n
  if p(:,:,i)^3 == eye(3)   
    v(i,1) = 1;
  end
end  

anirudhjayaraman

# INTRODUCTION TO dplyr AND tbls
# Load the dplyr package
library(dplyr)

# Load the hflights package
library(hflights)

# Call both head() and summary() on hflights
head(hflights)
summary(hflights)