Comito, C., Gutiérrez Hermosillo Muriedas, J. P., Götz, M., Hagemeier, B., Hoppe, F., Knechtges, P., Krajsek, K., Rüttgers, A., & Tarnawa, M. (2024, Januar 1). Scaling data-intensive analytics with Heat: a Python library for massively-parallel array computing and machine learning. Gehalten auf der.
ISO-690 (author-date, English)COMITO, C., GUTIÉRREZ HERMOSILLO MURIEDAS, J. P., GÖTZ, M., HAGEMEIER, B., HOPPE, F., KNECHTGES, P., KRAJSEK, K., RÜTTGERS, Alexander und TARNAWA, M., 2024. Scaling data-intensive analytics with Heat: a Python library for massively-parallel array computing and machine learning. In: . 1 Januar 2024.
Modern Language Association 9th editionComito, C., J. P. Gutiérrez Hermosillo Muriedas, M. Götz, B. Hagemeier, F. Hoppe, P. Knechtges, K. Krajsek, A. Rüttgers, und M. Tarnawa. Scaling data-intensive analytics with Heat: a Python library for massively-parallel array computing and machine learning. 2024.
Mohr Siebeck - Recht (Deutsch - Österreich)Emerald - Harvard
Comito, C., Gutiérrez Hermosillo Muriedas, J.P., Götz, M., Hagemeier, B., Hoppe, F., Knechtges, P., Krajsek, K., Rüttgers, A. und Tarnawa, M. (2024), „Scaling data-intensive analytics with Heat: a Python library for massively-parallel array computing and machine learning“, in , Bd. .