Today, I was writing a python script and needed to swap the keys and values in a dictionary. While doing it, I wanted to see how long it takes to perform such a swap operation on small dictionaries. To determine which solution is the fastest on CPU, we can use the  timeit  module in Python to benchmark each solution. The methods I will be testing is that A similar way to list comprehension using  zip() Iterating the dictionary keys with for loop Here’s an example benchmark: import  timeit  existing_dict =  { "a" : 1 , "b" : 2 , "c" : 3 }  def  solution1 ():     return  {v: k for  k, v in  existing_dict . items()}  def  solution2 ():     return  dict(zip(existing_dict . values(), existing_dict . keys()))  def  solution3 ():     swapped_dict =  {}     for  k, v in  existing_dict . items():         swapped_dict[v] =  k     return  swapped_dict  print( "Solution 1:" , timeit . timeit(solution1, number = 100000 )) print( "Solution 2:" , time...
Yet another blog about Storage and Linux systems