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* Welcome Jeremy Kubica

 
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This week, we're delighted to have Jeremy Kubica helping to answer questions about the new book Data Structures the Fun Way: An Amusing Adventure with Coffee-Filled Examples.
See the table of contents and a sample chapter online.

The promotion starts Tuesday, November 29th, 2022 and will end on Friday, December 2nd, 2022

We'll be selecting four random posters in this forum to win a free copy of the book provided by the publisher, No Starch Press.


Image from https://m.media-amazon.com

Please see the Book Promotion page to ensure your best chances at winning!

Posts in this welcome thread are not eligible for the drawing, and should be reserved for welcoming the author. Questions posted in this topic are subject to removal.
 
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Hello,

I have always wondered whether it would be possible to create a methodology for analysing and categorising the data so that once this work has been done the same "recipes" can be used systematically to process the data.

Make a kind of 80/20 where 80 represents the usual repetitive cases and 20 the exceptions.
And in the exception cases, to list the exception cases by type... so that the exceptional is also treated in a similar way.

For each data item that requires non-standard or even exceptional treatment to have a questionnaire that allows classification into one or more exception categories where the best examples of resolution are demonstrated/deconstructed.

This will leave the unique cases which will have to be treated on a case by case basis.

Does the content of the book allow for this type of methodology?  

Thank you
 
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Good to see you back I hope you have lots of awkward interesting questions to answer.
 
Campbell Ritchie
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SC: you should know by now that you shouldn't ask question in this thread. Please start a new thread.
 
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Thanks I look forward to chatting with everyone.
 
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Good books, Welcome Jeremy Kubica h
 
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Congratulations on the book, Jeremy...  I was happy to see Jeanne on the reviewers list
 
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