addisoneee

#-------------------------------------------------------------------------------
# Name:        Numerical Project Assignment #2, Subject #3
# Purpose:     To determine the eigenvalues of a matrix using QR decomposition
#
# Author:      Addison Euhus
#
# Created:     04/30/2014
# Copyright:   (c) Addison Euhus 2014
#-------------------------------------------------------------------------------

addisoneee

#-------------------------------------------------------------------------------
# Name:        Numerical Project Assignment #1
# Purpose:     Given an integer n and a function f, this program will
#              solve the n points finite-difference approximation of the
#              Poisson-Laplace problem using LU decomposition.
#
# Author:      Addison Euhus
#
# Created:     24/03/2014
# Copyright:   (c) Addison Euhus 2014

addisoneee

from autopy import key, bitmap
import time
import random

screenOld = bitmap.capture_screen()
q = 0

while(True):
    screenNew = bitmap.capture_screen()
    r = random.randint(1,2)

addisoneee

from mpl_toolkits.basemap import Basemap as bm
import matplotlib.pyplot as plt

#Creates a 3d rendering of North America
map3d = bm(projection='ortho',lat_0=45,lon_0=-100,resolution='l')

#Draws the coastlines and boundaries, colors them
map3d.drawcoastlines(linewidth=0.3)
map3d.drawcountries(linewidth=0.5)
map3d.drawmapboundary(fill_color='aqua')

addisoneee

import urllib
import urllib2
import re

#Created by Addison Euhus, July 9 2013.

#In order to run this program:
# call yearHistory(CUSIP#, year)
# returns a dictionary variable with all of the prices for indicated bond in that year

addisoneee

import urllib2

#This program takes a single string parameter
#And will return the corresponding company name

def CUSIPLookup(cusipNum):
    data = urllib2.urlopen('http://activequote.fidelity.com/mmnet/SymLookup.phtml?reqforlookup=REQUESTFORLOOKUP&productid=mmnet&isLoggedIn=mmnet&rows=50&for=bond&by=cusip&criteria='+str(cusipNum)+'&submit=Search')
    data_string = data.read()
    start = data_string.find("<tr><td height=\"20\" nowrap><font class=\"smallfont\">")
    end = data_string[start:].find("</font>")

addisoneee

import numpy as np
import matplotlib.pyplot as plt

def fun(x):
  #This is where all the info on the function goes
	if x < 28:
		return 100000*x - 2721000
	else:
		return 79000