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pyt...@bdurham.com wrote:
> Feedback on my proposed strategies (or better strategies) would be
> greatly appreciated.

Both strategies will work but I'd recommend the second approach since it
uses already tested code written by other people - the chances of it
being wrong are far lower than new code.

You also neglected to mention what your concerns are or even what "very
large" is.  Example concerns are memory consumption, cpu consumption,
testability, utility of output (eg as a generator getting each result on
demand or a single list with complete results).  Some people will think
a few hundred entries is large.  My idea of large is a working set
larger than my workstation's 6GB of memory :-)

In general the Pythonic approach is:

1 - Get the correct result
2 - Simple code (developer time is precious)
3 - Optimise for your data and environment

Step 3 is usually not needed.

Roger
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