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Python Set Operations Explained: From Theory to Real-Time Applications

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A  set  in Python is an unordered collection of unique elements. It is useful when storing distinct values and performing operations like union, intersection, or difference. Real-Time Example: Removing Duplicate Customer Emails in a Marketing Campaign Imagine you are working on an email marketing campaign for your company. You have a list of customer emails, but some are duplicated. Using a set , you can remove duplicates efficiently before sending emails. Code Example: # List of customer emails (some duplicates) customer_emails = [ "alice@example.com" , "bob@example.com" , "charlie@example.com" , "alice@example.com" , "david@example.com" , "bob@example.com" ] # Convert list to a set to remove duplicates unique_emails = set (customer_emails) # Convert back to a list (if needed) unique_email_list = list (unique_emails) # Print the unique emails print ( "Unique customer emails:" , unique_email_list) Ou...

These Tips Helpful to Remove Python List and Dictionary Duplicates

In this post, I have shared top ideas to remove duplicates from the list. Those are with Append and Dictionary.


Python: How to Remove Duplicates From List

1. How to Remove Duplicates with Append

# Here is a list with duplicates

list_with_duplicates = [1,2,3,12,1,2,3,4,5,6,1,2,3,7,8,9]

It is simple if you follow the first-approach - brute force approach:

list_without_duplicates = []

for pd in list_with_duplicates:
  if pd not in list_without_duplicates:
      list_without_duplicates.append(pd)
print(list_without_duplicates)

Result:

[1, 2, 3, 12, 4, 5, 6, 7, 8, 9]

This method has performance issues when the list is bigger in size. 

Real-time.

Idea 1:  Remove Duplicates Using Append.



2. How to Remove Duplicates with Dictionary


# Here is you can convert a list to a dictionary

dict_without_duplicates = dict(zip(list_with_duplicates, list_with_duplicates))
print(dictionary_without_duplicates)

Result:

{1: 1, 2: 2, 3: 3, 12: 12, 4: 4, 5: 5, 6: 6, 7: 7, 8: 8, 9: 9}


Real-time.

Idea 2: Remove Duplicates Using Dictionary.


Once again, this works and has the advantage of taking less space than duplicating the entire list. 


Notes: Of course, we still need to convert it back to a list when we did, which will be somewhat painful since we must extract the keys and add them to a list.

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