In [1]:

    

print("hh")


    

    




hh

In [2]:

    

print("sdfa")


    

    




sdfa

In [3]:

    

range(10)


    

    
Out[3]:





range(0, 10)

In [4]:

    

list(range(10))


    

    
Out[4]:





[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]

In [5]:

    

list(map(lambda x : x+3 ,(list(range(10)))))


    

    
Out[5]:





[3, 4, 5, 6, 7, 8, 9, 10, 11, 12]

In [6]:

    

list(map(lambda x: x+3, range(10)))


    

    
Out[6]:





[3, 4, 5, 6, 7, 8, 9, 10, 11, 12]

In [7]:

    

def add(x):
    return x+3

list(map(add,range(10)))


    

    
Out[7]:





[3, 4, 5, 6, 7, 8, 9, 10, 11, 12]

In [8]:

    

import numpy as np


    

In [9]:

    

a = np.zeros([3,2])
print(a)


    

    




[[ 0.  0.]
 [ 0.  0.]
 [ 0.  0.]]

In [10]:

    

a[1,0] = 2


    

In [31]:

    

a


    

    
Out[31]:





array([[ 10.,   1.],
       [  2.,   0.],
       [  4.,   8.]])

In [32]:

    

print(a)


    

    




[[ 10.   1.]
 [  2.   0.]
 [  4.   8.]]

In [33]:

    

import matplotlib.pyplot as pl


    

In [34]:

    

print("gg")


    

    




gg

In [35]:

    

print("hh")


    

    




hh

In [36]:

    

%matplotlib inline


    

In [38]:

    

pl.imshow(a, interpolation="nearest")


    

    
Out[38]:





<matplotlib.image.AxesImage at 0x10d12db00>






    

In [39]:

    

print(a)


    

    




[[ 10.   1.]
 [  2.   0.]
 [  4.   8.]]

In [40]:

    

a[0,1] = 1
a[0,0] =10
a[2,0] =4
a[2,1] = 8


    

In [41]:

    

print(a)


    

    




[[ 10.   1.]
 [  2.   0.]
 [  4.   8.]]

In [42]:

    

pl.imshow(a, interpolation="nearest")


    

    
Out[42]:





<matplotlib.image.AxesImage at 0x10fa5f518>






    

In [43]:

    

pl.imshow(a, interpolation="nearest")


    

    
Out[43]:





<matplotlib.image.AxesImage at 0x10fc3a358>






    

In [44]:

    

pl.imshow(a)


    

    
Out[44]:





<matplotlib.image.AxesImage at 0x10fccc048>






    

In [45]:

    

pl.imshow(a, interpolation="nearest")


    

    
Out[45]:





<matplotlib.image.AxesImage at 0x10fdb6358>






    

In [46]:

    

import random as rand


    

In [47]:

    

arr = list(range(1,10))


    

In [48]:

    

print(arr)


    

    




[1, 2, 3, 4, 5, 6, 7, 8, 9]

In [49]:

    

print(rand.randrange(1,10))


    

    




4

In [50]:

    

for i in range(1,10):
    print(rand.randrange(1,10))


    

    




7
1
2
7
2
3
9
6
7

In [51]:

    

rand.sample(range(1,10),2)


    

    
Out[51]:





[1, 2]

In [52]:

    

k = rand.sample(range(100),10)


    

In [53]:

    

print(k)


    

    




[68, 6, 28, 40, 62, 71, 98, 58, 32, 9]

In [ ]:

    




    

In [54]:

    

[k]


    

    
Out[54]:





[[68, 6, 28, 40, 62, 71, 98, 58, 32, 9]]

In [55]:

    

pl.imshow([k])


    

    
Out[55]:





<matplotlib.image.AxesImage at 0x110004f60>






    

In [56]:

    

pl.imshow([k],interpolation="nearest")


    

    
Out[56]:





<matplotlib.image.AxesImage at 0x11009a358>






    

In [57]:

    

tmp = []
for i in range(1000):
    tmp.append(rand.sample(range(1000),1000))


pl.imshow(tmp, interpolation="nearest")


    

    
Out[57]:





<matplotlib.image.AxesImage at 0x112098ac8>






    

In [58]:

    

pl.imshow(tmp)


    

    
Out[58]:





<matplotlib.image.AxesImage at 0x118759cc0>






    

In [73]:

    

tmp = []
for i in range(50):
    tmp.append(rand.sample(range(100),50))


pl.imshow(tmp, interpolation="nearest")


    

    
Out[73]:





<matplotlib.image.AxesImage at 0x111d9c0f0>






    

In [74]:

    

pl.imshow(tmp)


    

    
Out[74]:





<matplotlib.image.AxesImage at 0x11300a7b8>






    

In [75]:

    

array = rand.sample(range(10),10)


    

In [76]:

    

print(array)


    

    




[2, 1, 6, 8, 5, 0, 9, 3, 7, 4]

In [80]:

    

class Foo:
    def func():
        print("A")
    
    def func2(self):
        print(id(self))
        print("B")


    

In [81]:

    

f = Foo()
f.func2()


    

    




4566053944
B

In [82]:

    

print(id(f))


    

    




4566053944

In [ ]: