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Showing posts with the label try and except logic

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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...

How to Use Python Try and Except Logic Correctly

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In Python, you can avoid exceptions using Try and Except logic. The Error-free programs save a lot of time. Also, you can keep away defects in production.   How to Use Python Try and Except Logic Correctly In Python, you can handle un-known errors by using TRY and EXCEPT logic. If the programmer does not take care of this, the default is for  Python to print  an error message and stops execution.  So the responsibility of a programmer is upfront he/she has to find errors and handle them correctly. It is possible if you use the  TRY and EXCEPT. Python Syntax for Try and Except. try:       c = a/b except:       c = 1000000 Try ends with ':' it says that Try block start here. In this block, you can write actual logic. The Except: is another block. That means in this block programmer can specify some value. And that value populates when any error happens. Try and Except Examples. Example: 1. Below is the example to give the...