Two Bites of Data Science in K
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Two Bites of Data Science in K
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Re: Two Bites of Data Science in K
#2op, which version of k are you using in the post? for those who'd like to follow along
Re: Two Bites of Data Science in K
#3op, which version of k are you using in the post? for those who'd like to follow along
ngn/k is mentioned, currently-maintained fork at https://codeberg.org/growler/k.
Re: Two Bites of Data Science in K
#4Re: Two Bites of Data Science in K
#5I had a go at rewriting the latter half in Lil, flexing its K/Q heritage:
t:readcsv[read["ICC Test Bowl 3003.csv"] "ssiiiiisffiiis"]
sorted: select orderby Wkts desc orderby Ave asc where Wkts from t
best: select where !gindex by Wkts from sorted
bestInClass: select where each v i in Ave v~min (i+1) take Ave end from best
allWkts: sorted.Wkts
mostCompetitive: extract where (gindex=0)&15Re: Two Bites of Data Science in K
#6I had a go at rewriting the latter half in Lil, flexing its K/Q heritage: t:readcsv[read["ICC Test Bowl 3003.csv"] "ssiiiiisffiiis"] sorted: select orderby Wkts desc orderby Ave asc where Wkts from t best: select where !gindex by Wkts from sorted bestInClass: select where each v i in Ave v~min (i+1) take Ave end from best allWkts: sorted.Wkts mostCompetitive: extract where (gindex=0)&15 "bestInClass" is probably the…
is there a website or similar for this language? couldn't find anything with a quick google
Re: Two Bites of Data Science in K
#7I had a go at rewriting the latter half in Lil, flexing its K/Q heritage: t:readcsv[read["ICC Test Bowl 3003.csv"] "ssiiiiisffiiis"] sorted: select orderby Wkts desc orderby Ave asc where Wkts from t best: select where !gindex by Wkts from sorted bestInClass: select where each v i in Ave v~min (i+1) take Ave end from best allWkts: sorted.Wkts mostCompetitive: extract where (gindex=0)&15 "bestInClass" is probably the…
is there a website or similar for this language? couldn't find anything with a quick google
The readme has links to various resources including tutorials: https://codeberg.org/ngn/k
Re: Two Bites of Data Science in K
#8I had a go at rewriting the latter half in Lil, flexing its K/Q heritage: t:readcsv[read["ICC Test Bowl 3003.csv"] "ssiiiiisffiiis"] sorted: select orderby Wkts desc orderby Ave asc where Wkts from t best: select where !gindex by Wkts from sorted bestInClass: select where each v i in Ave v~min (i+1) take Ave end from best allWkts: sorted.Wkts mostCompetitive: extract where (gindex=0)&15 "bestInClass" is probably the…
is there a website or similar for this language? couldn't find anything with a quick google
https://beyondloom.com/decker/lil.html
See also https://beyondloom.com/blog/rankingoffruits.html for a nice introduction to the query syntax and its relation to K. (And RodgerTheGreat is John Earnest, the author).
Re: Two Bites of Data Science in K
#9Re: Two Bites of Data Science in K
#10I had a similar-ish project a while ago. I enjoy doing the "Spelling Bee" game in The NY Times Games section. In the comments someone worried that there weren't enough arrangements to keep the game going very long. I used an open source dictionary to generate all possible puzzles restricted by some basic heuristics like never using the letter S, having the total number of possible words in some reasonable range, etc. I found about 23,000 possible puzzles. My next idea was to use google's n-gram statistics to add some sort of "commonly known" heuristic, but my energy for the project petered out.
In any event these languages are great for exploring data in projects like these.