tag:jose.theoj.org,2005:/papers/in/Jupyter%20Notebook?page=3Journal of Open Source Education2019-04-09T11:43:22ZJournal of Open Source Educationhttps://jose.theoj.orgtag:jose.theoj.org,2005:Paper/202019-04-09T11:43:22Z2021-05-23T15:21:15ZStateMint: A Set of Tools for Determining Symbolic Dynamic System Models Using Linear Graph Methodsaccepted2.0.02018-12-29 06:52:00 UTC162019-04-09 11:43:22 UTC2201944CameronDevineUniversity of Washington, Department of Mechanical Engineering0000-0002-6579-111XJosephL.GarbiniUniversity of Washington, Department of Mechanical EngineeringRicoA. r.PiconeSaint Martin's University, Department of Mechanical Engineering, University of Washington, Department of Mechanical Engineering0000-0002-5091-517510.21105/jose.00044https://doi.org/10.5281/zenodo.2633330Mathematica, Jupyter Notebookhttps://jose.theoj.org/papers/10.21105/jose.00044.pdfsystem dynamics, calculator, symbolic math, computer algebra systemtag:jose.theoj.org,2005:Paper/192019-01-21T22:58:30Z2021-05-23T15:21:15ZPython for Atmosphere and Ocean Scientistsacceptedv1.0.02018-10-22 22:22:10 UTC162019-01-21 22:58:30 UTC2201937DamienB.IrvingCommonwealth Scientific and Industrial Research Organisation (CSIRO)0000-0003-1258-500210.21105/jose.00037https://doi.org/10.5281/zenodo.2546005Ruby, Python, Jupyter Notebookhttps://jose.theoj.org/papers/10.21105/jose.00037.pdfpython, meteorology, oceanographytag:jose.theoj.org,2005:Paper/112018-11-12T22:43:42Z2021-05-23T15:21:15ZCFD Python: the 12 steps to Navier-Stokes equationsacceptedv1.02018-07-01 15:29:52 UTC162018-11-12 22:43:42 UTC2201921LorenaA.BarbaThe George Washington University0000-0001-5812-2711GilbertF.ForsythThe George Washington University, Capital One0000-0002-4983-197810.21105/jose.00021https://doi.org/10.5281/zenodo.1484512Jupyter Notebookhttps://jose.theoj.org/papers/10.21105/jose.00021.pdfPython, CFD, differential equations, numerical methods, finite differencestag:jose.theoj.org,2005:Paper/62018-07-04T19:33:05Z2021-05-23T15:21:15ZA short course about fitting models with the `scipy.optimize` moduleaccepted0.12018-04-26 04:37:20 UTC162018-07-04 19:33:05 UTC2201916ArielRokemThe University of Washington eScience Institute0000-0003-0679-198510.21105/jose.00016https://doi.org/10.5281/zenodo.1304473Jupyter Notebookhttps://jose.theoj.org/papers/10.21105/jose.00016.pdfscipy, optimization, models