ChatGPT teaching me something new everyday.
TIL that `jq` has a built-in utility for converting structured output (a list of arrays) into CSV output.
I can even install `csvkit` and further tweak the specifics of the CSV with `csvformat`.
While we as investors know the abstract is coming out Wednesday for $pdsb and hope the data is good/great, most investors have never heard about this small company and have no idea. Hopefully after Wednesday and ASCO in June, lots of investors know the name. GLTA, can't wait.
the number 1 thing this company needs is attention. when people pay attention the price moves significantly. hopefully ASCO provides that springboard, as board noted in CC
When does the runup to data begin for $pdsb? I would have thought it would be running into the abstract release by now. It will be all the more sweeter if data is very good and price doubles or triples after Wednesday. Fingers crossed, let's hope data impresses.
Got the rest of my order filled heading into Wednesday. Now the proud owner of 130 $7.50 05/21 calls on $pdsb for a nickel. Took almost a week to get filled at my bid. Now let's hope the abstract on Wed wakes up the street and doubles or triples the price by Friday. GLTA.
I'm cheap, I only wanted to pay a nickel so put a buy order for 130 $pdsb contracts on Tuesday and 3 were sold to me on Wed, then 50 yesterday and today another 45 so far in 2 lots. Another 32 to go.
tiraría de @integromat, pero en este caso bien por specs (CLI utils como csvclean, csvformat, etc), bien por $$ (ficheros de decenas de miles de lineas) no va a ser posible... igual hay un "integromat para terminales" que desconozco (y molaría usar)
oh csvsql isn't meant for big data (>1GB). But in those cases I use csvformat to produce a CSV that SQLite's .import (which seems to be the fastest load method) can easily ingest.
You might also like @zzolo's node lib, tables. Handles big data just fine github.com/datanews/tables