print 'hello world'

2+2

#illustration of for loop and range
count =0
for i in range(10):
    if i != 0:
        print '+',
    else:
        print ' ',
    print i
    count += i
print "---\n",' '+str(count)

#illustration of strings as lists
string = ''
alphabet='abcdefghijklmnopqrstuvwxyz'
for i in range(1,10):
    string += alphabet[-i]
    print len(string),string

#illustration of lists and dict
list=[]
dict={}
string=''
for i in range(1,10):
        string += alphabet[-i]
        list.append(string)
        list += [string]
        dict[string] = i
print list,"\n",dict

list[3]

dict['z']

#dict values can be any object
dict['a']=['a1','a2','a3','a4']
dict['b'] = ['a'+str(j) for j in range(10)]
dict['c']={}
dict['c']['xyz']='alpha'

dict

#dicts can be sorted on keys
score={'Alice':90,'Bob':65,'Eve':95,'Charles':75}
for name in sorted(score.keys()):
    print name,score[name]
print '\n','average=',sum(score.values())/len(score)

#or on values
for name in sorted(score.keys(),key=score.get,reverse=True):
    print name,score[name]
print '\n','average=',sum(score.values())/len(score)

#http://matplotlib.org/examples/api/unicode_minus.html
plot(10*np.random.randn(100), 10*np.random.randn(100), 'o')
title('Some Random Data')

data=(1,3,8,6,4,2)
plot(range(len(data)),data,label="first")
moredata = -array(data)
plot(range(len(moredata)),moredata,label="second")
grid(True)
xlabel('time')
ylabel('Gb used')
legend()

#http://matplotlib.org/examples/pylab_examples/histogram_demo.html
mu, sigma = 100, 15
x = mu + sigma*np.random.randn(10000)

# the histogram of the data
n, bins, patches = hist(x, 50, normed=1, facecolor='green', alpha=0.75)

# add a 'best fit' line
y = mlab.normpdf( bins, mu, sigma)
l = plot(bins, y, 'r--', linewidth=1)

xlabel('Smarts')
ylabel('Probability')
title(r'$\mathrm{Histogram\ of\ IQ:}\ \mu=100,\ \sigma=15$')
axis([40, 160, 0, 0.03])
grid(True)
#savefig("kln.png", dpi=72)