added some helpful stuff!

attract.py

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+## {{{ http://code.activestate.com/recipes/577814/ (r1)
+# Lorenz Attractor (projected onto XY-plane)
+# http://en.wikipedia.org/wiki/Lorenz_attractor
+# FB - 201107317
+import random
+from PIL import Image
+imgx = 800
+imgy = 600
+image = Image.new("RGB", (imgx, imgy))
+
+maxIt = 100000 # number of pixels to draw
+size = 30
+xa = -size
+xb = size
+ya = -size
+yb = size
+
+# initial state
+x = random.random() * size * 2 - 1
+y = random.random() * size * 2 - 1
+z = random.random() * size * 2 - 1
+
+# dx/dt = delta * (y - x)
+# dy/dt = r * x - y - x * z
+# dz/dt = x * y - b * z
+delta = float(10) # Prandtl number
+r = float(28)
+b = float(8) / 3
+h = 1e-3 # time step
+def Lorenz(x, y, z):
+    dx_dt = delta * (y - x)
+    dy_dt = r * x - y - x * z
+    dz_dt = x * y - b * z
+    x += dx_dt * h
+    y += dy_dt * h
+    z += dz_dt * h
+    return (x, y, z)
+
+for i in range(maxIt):
+    (x, y, z) = Lorenz(x, y, z)#; print x, y, z
+    xi = int((imgx - 1) * (x - xa) / (xb - xa))
+    yi = int((imgy - 1) * (y - ya) / (yb - ya))
+    if xi >=0 and xi < imgx and yi >= 0 and yi < imgy:
+        image.putpixel((xi, yi), (255, 255, 255))
+
+image.save("Lorenz_Attractor.png", "PNG")
+## end of http://code.activestate.com/recipes/577814/ }}}

colors.py

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+#!/usr/bin/env python
+
+fg = '\033[38;5;'
+bg = '\033[48;5;'
+
+for i in range( 0, 256):
+  n = str(i)
+  fgstr = fg + n + 'm' + n
+  bgstr = bg + n + 'm' 'XXXXX'
+  print fgstr, bgstr, '\033[0m'

dogAge.py

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+from datetime import *
+
+
+birth  = datetime(2010, 11, 24)  # birthdate Nov. 24th, 2010
+today  = datetime.today()        # current date
+
+time   = today - birth
+age    = time.days/365           # current age
+dogAge = 7*time
+dogAge = dogAge.days/365         # current dog age
+
+sstime = timedelta(365*16/7)     # time to turn 16
+ssdate = birth + sstime          # date of 16th birthday (in dog years)
+
+
+

groc.py

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+import re
+import datetime          as dt
+import calendar          as cal
+import matplotlib.dates  as dates
+from pylab import *
+
+
+data  = open("groceries_in.txt")
+p     = re.compile('([0-9]+.[0-9]+.[0-9]+)-([0-9]+.[0-9]+).*?\n')
+date  = []
+spent = []
+
+# fill the arrays values from the .txt file :
+for l in data.readlines():
+  m = p.match(l)
+  if m != None:
+    dateSplit = m.group(1).rsplit('.')
+    d = dt.datetime(int(dateSplit[2]), 
+                    int(dateSplit[0]), 
+                    int(dateSplit[1]))
+    date.append(d)
+    spent.append(float(m.group(2)))
+data.close()
+date.sort()
+
+# total time in days :
+start   = date[0] - dt.timedelta(1)
+end     = date[-1]
+totTime = end - start
+
+# total costs :
+costPerDay = sum(spent) / totTime.days
+total      = sum(spent)
+
+
+# create an array of monthly expendatures :
+avg = []
+for i in range(len(spent)):
+  avgCostToDate = sum(spent[:i]) / (date[i] - start).days
+  avg.append(avgCostToDate)
+
+
+# calculate monthly costs :
+month_total   = []
+month_tot_str = []
+cont_date     = []
+tot           = 0.0
+month         = date[0].month
+year          = date[0].year
+date_n        = date[0]
+for i,d in enumerate(date):
+  # tallying monthly totals :
+  if d.month == month and d.year == year:
+    tot += spent[i]
+  # calculate the monthly totals and append :
+  else:
+    month_tot_str.append('$' + str(round(tot, 2)))
+    min_d, max_d = cal.monthrange(year, month)
+    for i in range(date_n.day, max_d+2):
+      month_total.append(tot)
+      cont_date.append(date_n)
+      date_n += dt.timedelta(1)
+    tot   = spent[i]
+    month = d.month
+    year  = d.year
+
+# finish off the last part of the month :
+month_tot_str.append('$' + str(round(tot, 2)))
+for i in range(date_n.day, d.day+1):
+  month_total.append(tot)
+  cont_date.append(date_n)
+  date_n += dt.timedelta(1)
+
+# update output file with statistics :
+data = open("groceries_out.txt", "w")
+data.write('Grocery / Dog Expenses:\n\n\n')
+for d, s in zip(date, spent):
+  data.write(d.strftime("%m.%d.%y") + ' - ' + str(s) + '\n')
+data.write('\n\nTotal: $%.2f' % total)
+data.write('\n\nAverage cost per day: $%.2f' % costPerDay)
+data.close()
+
+# plotting :
+totTime = date[-1] - date[0]
+days    = totTime.days
+fig     = figure(figsize=(12,5))
+tit     = "Food Expendature for %s days : $%.2f" % (days, total)
+ax1  = fig.add_axes([.1,.2,.8,.7], title = tit) # [left, bottom, width, height]
+ax2  = ax1.twinx()
+ax1.grid()
+ax1.plot(date,      spent,       'ro', lw=1, label='expendatures')
+ax1.plot(date,      avg,         'b-', lw=2, label='average cost per day')
+ax2.plot(cont_date, month_total, 'g-', lw=2, label='monthly total', 
+         drawstyle='steps')
+leg = ax1.legend(loc='upper left')
+leg.get_frame().set_alpha(0.5)
+ax1.set_ylabel('Cost ($)')
+ax2.set_ylabel('Total Monthly Cost ($)', color='g')
+ax1.set_xlabel("Average Cost Per Day : $%.2f" % costPerDay)
+for tl in ax2.get_yticklabels():
+  tl.set_color('g')
+plt.show()
+
+
+