hello people, > I am still defending that we need a package for data > analysis/science/engineer (like the Perl5 PDL, Python Pandas or R > data.table) and an IDE for streaming programming like jupyter or rstudio.
I'm still excited about this idea and my offer to test/feedback/document remains open. A first step should be to start with examples of pure Raku code. Once we are confident about the fact it's the state of art of the langage, we can merge it into https://github.com/Raku/examples/tree/master/categories I started it by using a turorial made by a colleage (in french, sorry) about "exploring facts about the titanic demography with python" https://www.youtube.com/watch?v=FNDWAybVPcc which is a good example: * simple grammar * simple data manipulations * interesting facts to work on simpler enough to explore Raku concepts and asking myself a lot of questions like "is it possible that a grammar can Supply objects or beging lazy". so could something inspired like that grammar grammar CSV { rule TOP { <line>* } token line { <col>* %% ',' \n } proto token col {*} token col:sym<bare> { <-[\n",]>* } token col:sym<quoted> { '"' ~ '"' [<( [ '""' | <-[\n"]> ]* )>] } } which is basically used that way: my @data = CSV.parse( actions => CSV_as_table.new, "quoted.csv".IO.slurp ).made; my \col = %( $_ Z=> ^$_ with @data.shift.List ); be used this way to take avantage of lazyness: my @top5 = do { .use_headers; .head(5) } with onfly CSV, "quoted.csv".IO; # IO stops tor read at line 6 regards, marc
