Python – Variable Operations Dictionary update

Sometimes, while working with Python dictionaries we can have a problem in which we need to perform a population of dictionary values using assigned variables after certain operation among them. This can have application in day-day programming. Let’s discuss certain ways in which this task can be performed.

Method #1 : Using lambda + dictionary comprehension
The combination of above functions can be used to solve this problem. In this, we perform the assignment using dictionary comprehension and values computations using lambda functions.

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# Python3 code to demonstrate working of 
# Variable Operations Dictionary update
# Using lambda + dictionary comprehension
  
# helpr functions
hlper_fnc = {'Gfg': lambda: x + y,
         'best': lambda: x * y}
  
# initializing variables
x = 6
y = 7
  
# Variable Operations Dictionary update
# Using lambda + dictionary comprehension
res = {key: val() for key, val in hlper_fnc.items()}
  
# printing result 
print("The Initialized dictionary : " + str(res)) 

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Output :          


The Initialized dictionary : {'best': 42, 'Gfg': 13}





 


Method #2 : Using operators library

This task can also be performed using above functionality. In this, we use inbuilt operations provided by the operator library to achieve this task.











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# Python3 code to demonstrate working of  


# Variable Operations Dictionary update 


# Using lambda + dictionary comprehension 


from operator import add, mul 


  


# helpr functions 


hlper_fnc = {'Gfg': add, 


         'best': mul} 


  


# initializing variables 


x = 6


y = 7


  


# Variable Operations Dictionary update 


# Using lambda + dictionary comprehension 


res = {'Gfg' : hlper_fnc['Gfg'](x, y), 'best' : hlper_fnc['best'](x, y)} 


  


# printing result  


print("The Initialized dictionary : " + str(res))  



















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Output :          


The Initialized dictionary : {'best': 42, 'Gfg': 13}








    

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