Third, there exists a very large set of powerful libraries supporting both research and application development in these fields, including \numpy~\cite{HMvdWGVCWTBSKPHvKBHFdRWPGMSRWAGO2020APWN,N2025N,DBvR2024ITN,J2018NPSCADSAWNSAM}, \pandas~\cite{PD2025P,B2012DPWP,L2024PW}, \scikitlearn~\cite{PVGMTGBPWDVPCBPD2011SMLIP,RLM2022MLWPAS}, \scipy~\cite{VGOHRCBPWBvdWBWMMNJKLCPFMVLPCHQHARPvMS2020SFAFSCIP,J2018NPSCADSAWNSAM}, \tensorflow~\cite{ABCCDDDGIIKLMMMSTVWWYZ2016TASFLSML,L2023TDDBTADMLMWT}, \pytorch~\cite{PGMLBCKLGADKYDRTCSFBC2019PAISHPDLL,RLM2022MLWPAS}, \matplotlib~\cite{HDFDM2012MVWP,H2007MA2GE,P2021HOMLPAVWP,J2018NPSCADSAWNSAM}, \simpy~\cite{Z2024DESIEWS}, and \moptipy~\cite{WW2023RSDEWASSAA}\footnote{Yes, I list \moptipy\ here, next to very well-known and widely-used frameworks, because I am its developer.}, just to name a few.
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