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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...
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Python Supports These 5 Native Data types

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Python supports five native data types. The Data types are such that a Programmer can use to write the logic and get the output. Many beginners may not aware of native data types. So I am adding a short note on that here. Native means as is Python supported data types.


Python Five Key Native Data Types
Python Five Key Native Data Types

Python Native Data Types

In Python, you can find five types of native data types. Here is a quick list for you. Those are Number, String, List, Tuple, Set, and Dictionary.


1. Number

For all the numeric values,  you can use this data type.


2. String

It handles all Characters, Special-symbols, and Alphanumeric values.


3. List

It is something like sequential data. A program can do Sort, Merge, etc. on this data.


4. Tuple

Data is a little different from the List.


5. Set

This kind of Data-type helps you to do set operations. Those are like Intersection, Difference, etc.


6. Dictionary

Here, the Dictionary something like a group of List kinds of data. But, each value has a key associated with it.


References

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