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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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Top Data Science Tools Complete List

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Top data science tools and platform providers across the world. Useful information for data science and data analytics developers.

8 Top Data Analytics Tools List.


Data Science is a combination of multiple skills. AI and Machine Learning are part of data science. You can create AI and Machine Learning products with data.

best data science tools list

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  1. Mehak ShaikhNovember 7, 2019 at 4:00 PM

    hi

    ReplyDelete
  2. SriniNovember 8, 2019 at 1:12 PM

    Welcome to our data analytics blog. We show solutions for data analytics developer problems.

    ReplyDelete
  3. FAFREEDDecember 22, 2019 at 2:31 PM

    You made such an interesting piece to read, giving every subject enlightenment for us to gain knowledge. Thanks for sharing the such information with us to read this... Admond Lee

    ReplyDelete
  4. THE SMALL BUSINESS NETOWRKMarch 18, 2020 at 3:32 AM

    i never know the use of adobe shadow until i saw this post. thank you for this! this is very helpful. install tensorflow anaconda

    ReplyDelete

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