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Welcome back everybody.
At this point,

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you have the machinery
for extracting data

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from complex nested
data structures.

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One of the biggest
challenges is just

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understanding the structure
of the data you have.

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Hopefully it'll have a
consistent structure.

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For example, if there is
a list of dictionaries,

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everything will be a lot easier

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if all the dictionaries
have the same keys.

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Now once you understand
the structure,

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you can figure out how
to write the code.

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In the end, you might
not need much code,

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but if you try to just write
it all out all at once,

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it'll be very frustrating.

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You'll take a long
time to debug it.

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So go through the
understand, extract,

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repeat process testing your
partial code at each stage,

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and you'll solve your coding
problems a lot faster.

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One valuable heuristic you
may want to remember is that

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if the data you want to access

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is nested three levels deep,

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a list inside a list,

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inside another list,
then you'll need

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that same number three of
extraction operations,

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some combination of square
brackets and for loops.

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I'll leave you with a silly joke

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and some serious
pearls of wisdom.

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Since we talked about
deep and shallow copies,

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what's a tiger running
a copy machine called?

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A copycat, of course.

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Some deeper wisdom about
complexity inspired by

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the more complicated nested data

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that we've learned
how to process.

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Confucius said, "Life
is really simple,

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but we insist on making
it complicated."

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Folk musician Pete Seeger said,

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"Any darn fool can make
something complex.

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It takes a genius to
make something simple."

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Management guru Tom Peters,

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writing about chaos in
organizations said,

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"If you're not confused,

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you're not paying attention."

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I'm not sure about that last one.

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I hope you're not confused
about nested data structures,

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no matter how complex they
get. I'll see you next time.