Joblib: running Python functions as pipeline jobs — joblib 0.11 documentation

Vision� The vision is to provide tools to easily achieve better performance and reproducibility when working with long running jobs. Avoid computing twice the same thing: code is rerun over an over, for instance when prototyping computational-heavy jobs (as in scientific development), but hand-crafted solution to alleviate this issue is error-prone and often leads to unreproducible results Persist

[moguno]

(あんちべ! 俺がS式だ) wrote: 君にグロースハックはいらない http://t.co/SX9hcovSkv 大規模データの高速処理 ーdata.table、dplyrー http://t.co/aTFZIeNNAv Python並列計算　joblib https://t.co/56Em7EpfSq

[elu_18]

並列計算で思い出しましたけど並列計算はmultiprocessing.Pool使うよりもjoblib使うと便利ですよ．基本は同じですが内部で例外出しても適切に処理してくれたりとか細かい辺りで気が利く印象: https://t.co/quqKgHnQ3v