Plannng a Linked-in Learning Course (and using the := walrus operator)

I've recorded two courses for LinkedIn Learning https://www.linkedin.com/learning/me

Let me emphasize that their production values take a lot of work. While I think I'm a pretty good live presenter, a few days in the recording booth with a producer, reveals all my weaknesses. so. um …

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State Change and NoSQL Databases

Let's take another look at F. L. Stevens spreadsheet with agencies and agents. It's -- of course -- an unholy mess. Why? It's difficult to handle state change and deduplication.
Let's look at state changes.
The author needs URL's and names and a list of genres the agent is interested in. This …
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Apple's Numbers and the All-in-One CSV export

Author F. L. Stevens has a hellishly complex (and irregular) spreadsheet with agents, agencies, and query status. (This is how fiction gets marketed: querying agents.) The spreadsheet has become unmanageably complex, with multiple pages. Each page has multiple tables. Buried in this are three "interesting" tables with agent query information …

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Spreadsheet Regrets

I can't emphasize this enough.

Some people, when confronted with a problem, think

β€œI know, I'll use a spreadsheet.” Now they have two problems.

(This was originally about regular expressions. And AWK. See http://regex.info/blog/2006-09-15/247)

Fiction writer F. L. Stevens got a list of literary agents …

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