Please solve in Python 3: As a software engineer, you are hired to arrange cricket players based on  their country and type. You have given all the player’s information in a  tuple called my_tuple. The players are from 3 countries which are  Bangladesh, Australia and England. There are 2 types of players which are  “Batters” and “Bowlers” You are given the following nested tuple where each element in the my_tuple  is a tuple consisting of a name and a 4 digit ID. my_tuple = (("Mominul", 1101),("Mustafiz", 1202),("Bell", 2101),("Cook",  2103),("Smith", 3101),("Finch", 3102),("Starc", 3203), ("Imrul", 1103),  ("Taijul", 1204)) Write a python program that will convert this tuple into the following  dictionary using the process described below: Your code should work for all  types of similar tuple if the sample input is changed. Output dictionary (You just have to print the resultant dictionary. No need  to follow the pattern below) { 'Bangladesh':      {      'Batters': ('Mominul', 'Imrul'),      'Bowlers': ('Mustafiz', 'Taijul')      }, 'England':    {     'Batters': ('Bell', 'Cook')     }, 'Australia':      {      'Batters': ('Smith', 'Finch'),      'Bowlers': 'Starc'      } } Here you need to convert the given tuple into the output using the 4 digit  ID. The rules are given below: 1==> First digit of the ID represents the country. Here      1a--> 1 means Bangladesh      1b--> 2 means England      1c--> 3 Means Australia 2==> Second digit of the ID represents type. Here      2a--> 1 means Batters      2b--> 2 means Bowlers 3==> If you have multiple players in a category use tuple to store the  multiple names as the value of the nested dictionary 4==> If any type is missing from the country, no need to add that type as  key in the nested dictionary (e.g: Bowlers is not present as key in the  nested dictionary situated in England key) 5==> If your output dictionary’s key value pair sequence is not the same as  the shown output you should not worry about that. However, the key value  pair should be exactly the same

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Please solve in Python 3:

As a software engineer, you are hired to arrange cricket players based on 
their country and type. You have given all the player’s information in a 
tuple called my_tuple. The players are from 3 countries which are 
Bangladesh, Australia and England. There are 2 types of players which are 
“Batters” and “Bowlers”

You are given the following nested tuple where each element in the my_tuple 
is a tuple consisting of a name and a 4 digit ID.

my_tuple = (("Mominul", 1101),("Mustafiz", 1202),("Bell", 2101),("Cook", 
2103),("Smith", 3101),("Finch", 3102),("Starc", 3203), ("Imrul", 1103), 
("Taijul", 1204))

Write a python program that will convert this tuple into the following 
dictionary using the process described below: Your code should work for all 
types of similar tuple if the sample input is changed.

Output dictionary (You just have to print the resultant dictionary. No need 
to follow the pattern below)
{
'Bangladesh':
     {
     'Batters': ('Mominul', 'Imrul'),
     'Bowlers': ('Mustafiz', 'Taijul')
     },
'England':
   {
    'Batters': ('Bell', 'Cook')
    },
'Australia':
     {
     'Batters': ('Smith', 'Finch'),
     'Bowlers': 'Starc'
     }
}

Here you need to convert the given tuple into the output using the 4 digit 
ID. The rules are given below:
1==> First digit of the ID represents the country. Here
     1a--> 1 means Bangladesh
     1b--> 2 means England
     1c--> 3 Means Australia
2==> Second digit of the ID represents type. Here
     2a--> 1 means Batters
     2b--> 2 means Bowlers
3==> If you have multiple players in a category use tuple to store the 
multiple names as the value of the nested dictionary
4==> If any type is missing from the country, no need to add that type as 
key in the nested dictionary (e.g: Bowlers is not present as key in the 
nested dictionary situated in England key)
5==> If your output dictionary’s key value pair sequence is not the same as 
the shown output you should not worry about that. However, the key value 
pair should be exactly the same

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