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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...

Python Subset: How to Get Subset of Dictionary

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Here's a sample program to get the python subset. In this case, you'll find logic for dictionary subsets. Dictionary python To illustrate, I have taken a dictionary as below with keys and values. my_first_dict = { 'HP': 100 'IBM': 200 'NTT': 300 'ABC': 400 'GDF': 500 } I want to make a subset of values greater than 100 and less than 400. How can you achieve this? No worries, below, you will find the logic. Logic to get subset out of a dictionary I am using dictionary comprehension to achieve this. Syntax: sub_set = { key:value for key, value in my_first_dict.items() value >100 and value <400} Result References Python Programming: Using Problem-Solving Approach