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References in zbMATH (referenced in 71 articles )

Showing results 1 to 20 of 71.
Sorted by year (citations)

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  1. Arthur A. B. Pessa, Haroldo V. Ribeiro: ordpy: A Python package for data analysis with permutation entropy and ordinal network methods (2021) arXiv
  2. David Doty, Eric Severson: ppsim: A software package for efficiently simulating and visualizing population protocols (2021) arXiv
  3. Handel, Danielle V.; Ho, Anson T. Y.; Huynh, Kim P.; Jacho-Chávez, David T.; Rea, Carson H.: Econometrics pedagogy and cloud computing: training the next generation of economists and data scientists (2021)
  4. Jannis M. Hoch, Sophie de Bruin, Niko Wanders: CoPro: a data-driven modelling framework for conflict risk projections (2021) not zbMATH
  5. Kelley, Luke Zoltan: kalepy: a Python package for kernel density estimation, sampling and plotting (2021) not zbMATH
  6. Kevin Kramer; Johan Chang: Visualization of Multi-Dimensional Data - The data-slicer Package (2021) not zbMATH
  7. Kummer, Florian; Weber, Jens; Smuda, Martin: BoSSS: a package for multigrid extended discontinuous Galerkin methods (2021)
  8. Nightingale, J. W., Hayes, R., Kelly, A., Amvrosiadis, A., Etherington, A., He, Q., Li, N., Cao, X., Frawley, J., Cole, S., Enia, A., Frenk, C., Harvey, D., Li, R., Massey, R., Negrello, M., Robertson, A: PyAutoLens: Open-Source Strong Gravitational Lensing (2021) not zbMATH
  9. Romeo Kienzler, Ivan Nesic: CLAIMED, a visual and scalable component library for Trusted AI (2021) arXiv
  10. Simon Knapen, Jonathan Kozaczuk, Tongyan Lin: DarkELF: A python package for dark matter scattering in dielectric targets (2021) arXiv
  11. T. L. Underwood, J. A. Purton, J. R. H. Manning, A. V. Brukhno, K. Stratford, T. Düren, N. B. Wilding, S. C. Parker: dlmontepython: A Python library for automation and analysis of Monte Carlo molecular simulations (2021) arXiv
  12. Weitz, Edmund: Concrete mathematics (not only) for computer scientists. With many graphics and algorithms in Python. With illustrations by Heike Stephan (2021)
  13. Bell Raj Eapen, Norm Archer, Kamran Sartipi: QRMine: A python package for triangulation in Grounded Theory (2020) arXiv
  14. Delgado, Miguel de Benito; Schmidt, Bernd: Energy minimising configurations of pre-strained multilayers (2020)
  15. D. van Kuppevelt, C. Meijer, F. Huber, A. van der Ploeg, S. Georgievska, V. T. van Hees: Mcfly: Automated deep learning on time series (2020) not zbMATH
  16. Emmanuel Jordy Menvouta, Sven Serneels, Tim Verdonck: direpack: A Python 3 package for state-of-the-art statistical dimension reduction methods (2020) arXiv
  17. John D. Boy: textnets: A Python package for text analysis with networks (2020) not zbMATH
  18. Jonathan Demaeyer, Lesley De Cruz, Stéphane Vannitsem: qgs: A flexible Python framework of reduced-order multiscale climate models (2020) not zbMATH
  19. Ketcheson, David I.; LeVeque, Randall J.; del Razo, Mauricio J.: Riemann problems and Jupyter solutions (2020)
  20. Matthew J. Gidden; Daniel Huppmann: pyam: a Python Package for the Analysis and Visualization of Models of the Interaction of Climate, Human, and Environmental Systems (2020) not zbMATH

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