new learn

In [4]:

from IPython.display import Image
from IPython.core.display import HTML 
from IPython.display import IFrame

1); iframe not rendering in ipython-notebook¶

satisfied answer by : answered Mar 19 '14 at 16:34¶

zach

https://stackoverflow.com/questions/17619964/iframe-not-rendering-in-ipython-notebook

2); iframe refuses to display¶

https://stackoverflow.com/questions/31944552/iframe-refuses-to-display

3);¶

In [15]:

# Python program to count the frequency of  
# elements in a list using a dictionary 
  
def CountFrequency(my_list): 
  
    # Creating an empty dictionary  
    freq = {} 
    for item in my_list: 
        if (item in freq): 
            freq[item] += 1
        else: 
            freq[item] = 1
  
    for key, value in freq.items(): 
        print ("% d : % d"%(key, value)) 
  
# Driver function 
if __name__ == "__main__":  
    my_list =[1, 1, 1, 5, 5, 3, 1, 3, 3, 1, 4, 4, 4, 2, 2, 2, 2] 
  
    CountFrequency(my_list) 

 1 :  5
 5 :  2
 3 :  3
 4 :  3
 2 :  4

4); deepcopy and shallow copy in python¶

In [1]:

# importing "copy" for copy operations 
import copy 
  
# initializing list 1 
li1 = [1, 2, [3,5], 4] 
  
# using deepcopy to deep copy  
li2 = copy.deepcopy(li1) 
  
# original elements of list 
print ("The original elements before deep copying") 
for i in range(0,len(li1)): 
    print (li1[i],end=" ") 
  
print("\r") 
  
# adding and element to new list 
li2[2][0] = 7
  
# Change is reflected in l2  
print ("The new list of elements after deep copying ") 
for i in range(0,len( li1)): 
    print (li2[i],end=" ") 
  
print("\r") 
  
# Change is NOT reflected in original list 
# as it is a deep copy 
print ("The original elements after deep copying") 
for i in range(0,len( li1)): 
    print (li1[i],end=" ") 

The original elements before deep copying
1 2 [3, 5] 4 
The new list of elements after deep copying 
1 2 [7, 5] 4 
The original elements after deep copying
1 2 [3, 5] 4 

In [2]:

import copy 
  
# initializing list 1 
li1 = [1, 2, [3,5], 4] 
  
# using copy to shallow copy  
li2 = copy.copy(li1) 
  
# original elements of list 
print ("The original elements before shallow copying") 
for i in range(0,len(li1)): 
    print (li1[i],end=" ") 
  
print("\r") 
  
# adding and element to new list 
li2[2][0] = 7
  
# checking if change is reflected 
print ("The original elements after shallow copying") 
for i in range(0,len( li1)): 
    print (li1[i],end=" ") 

The original elements before shallow copying
1 2 [3, 5] 4 
The original elements after shallow copying
1 2 [7, 5] 4 

In [ ]: