>>Numpy, numba, duckdb, arrow.. I have learnt quite a few things dip my toe in the recent big data water à la python recently :-)
It looks as if DuckDB plus Arrow is like a data engine built right into your dev tool, including automagic "streaming" (lazy loading) and analysis of datasets that can even exceed memory!
Wow. I knew somebody would think of that one day. ;-)
The big difference from our antique favourite may be multi-threading and avoidance of the memory parsimony that VFP had to observe back in the old days when 640K memory was enough for anybody.... assuming it's possible to utilize indexes and coherently analyze big chunks of data in multiple threads.
"... They ne'er cared for us
yet: suffer us to famish, and their store-houses
crammed with grain; make edicts for usury, to
support usurers; repeal daily any wholesome act
established against the rich, and provide more
piercing statutes daily, to chain up and restrain
the poor. If the wars eat us not up, they will; and
there's all the love they bear us."
-- Shakespeare: Coriolanus, Act 1, scene 1
