k: fast fun universal database and language

for: hedgefunds banks manufacturers iot formula1 ..

why: 100 times faster than polars datatable biqquery redshift databricks snowflake ..

benchmarks: same machine. same data. same queries. (apples-to-apples)

h20:     1Billion rows  k is about 100 times faster than polars datatable ..
taxi:    1Billion rows  k is about 100 times faster than biggie shifty sparky ..
stac:  100Billion rows  only k and kx.com can do these queries.
taq:  2000Billion rows  only k and kx.com can do the asof joins in our lifetime.

time - user and machine - is expensive.
pandas and polars are free - god bless them. so

1K rows: use excel
1M rows: use pandas/polars
1B rows: use shakti
1T rows: only shakti

by: arthur whitney+  thanks to
 e.l. whitney[1920-1966] dad:multiple putnam winner(beat john nash every time)
 k.e. iverson[1920-2004] advisor:APL turing award'79
 john cocke  [1925-2002] advisor:RISC turing award'87