#sdql2 搜尋結果

#SDQL3 improves access to player-level data. In #SDQL2 you find games where a player had more than 50 points with: max:points>50 #SDQL3 maintains that agile access and adds full #SDQL power, like this: Player.q(S(1)@points>50) With #SDQL3 the possibilities are twice endless.


A major innovation of #SDQL2 was using #Python for the database. This made #SDQL2 pure #Python2. The #SDQL query text was compiled to python with @dabeaz ply. This reduced a sports query to a list comprehension. The implicit group-by and #CamelCaseCompletion also debuted in 2


The #NFL2020 schedule is loaded in the #SDQL2 database at KillerSports.com Line will be available later today and #NFL will be under #SDQL3 by the Fall.


#SDQL3 is 99.93% backwards compatible with #SDQL2 and their manual is at SDQL.com


A major innovation of #SDQL2 was using #Python for the database. This made #SDQL2 pure #Python2. The #SDQL query text was compiled to python with @dabeaz ply. This reduced a sports query to a list comprehension. The implicit group-by and #CamelCaseCompletion also debuted in 2


#SDQL3 is 99.93% backwards compatible with #SDQL2 and their manual is at SDQL.com


The #NFL2020 schedule is loaded in the #SDQL2 database at KillerSports.com Line will be available later today and #NFL will be under #SDQL3 by the Fall.


#SDQL3 improves access to player-level data. In #SDQL2 you find games where a player had more than 50 points with: max:points>50 #SDQL3 maintains that agile access and adds full #SDQL power, like this: Player.q(S(1)@points>50) With #SDQL3 the possibilities are twice endless.


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