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References in zbMATH (referenced in 76 articles )

Showing results 1 to 20 of 76.
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. Leonardo R. Werneck, Zachariah B. Etienne, Elcio Abdalla, Bertha Cuadros-Melgar, C. E. Pellicer: NRPyCritCol SFcollapse1D: an open-source, user-friendly toolkit to study critical phenomena (2021) arXiv
  9. 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
  10. Oseledets, I. V.; Kharyuk, P. V.: Structuring data with block term decomposition: decomposition of joint tensors and variational block term decomposition as a parametrized mixture distribution model (2021)
  11. Pessa, Arthur A. B.; Ribeiro, Haroldo V.: ordpy: a Python package for data analysis with permutation entropy and ordinal network methods (2021)
  12. Qiusheng Wu: Leafmap: A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment (2021) not zbMATH
  13. Romeo Kienzler, Ivan Nesic: CLAIMED, a visual and scalable component library for Trusted AI (2021) arXiv
  14. Simon Knapen, Jonathan Kozaczuk, Tongyan Lin: DarkELF: A python package for dark matter scattering in dielectric targets (2021) arXiv
  15. 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
  16. Weitz, Edmund: Concrete mathematics (not only) for computer scientists. With many graphics and algorithms in Python. With illustrations by Heike Stephan (2021)
  17. Bell Raj Eapen, Norm Archer, Kamran Sartipi: QRMine: A python package for triangulation in Grounded Theory (2020) arXiv
  18. Delgado, Miguel de Benito; Schmidt, Bernd: Energy minimising configurations of pre-strained multilayers (2020)
  19. 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
  20. Ekaterina Ilin: AltaiPony - Flare science in Kepler, K2 and TESS light curves (2020) not zbMATH

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