Jupyter

The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.


References in zbMATH (referenced in 84 articles )

Showing results 1 to 20 of 84.
Sorted by year (citations)

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  1. Adiv Paradise, Evelyn Macdonald, Kristen Menou, Christopher Lee, Bo Lin Fan: ExoPlaSim: Extending the Planet Simulator for Exoplanets (2021) arXiv
  2. Arthur A. B. Pessa, Haroldo V. Ribeiro: ordpy: A Python package for data analysis with permutation entropy and ordinal network methods (2021) arXiv
  3. Bartolo, Enrique Artal; Cogolludo-Agustín, José I.; Martín-Morales, Jorge: Cremona transformations of weighted projective planes, Zariski pairs, and rational cuspidal curves (2021)
  4. Chathika Gunaratne, Ivan Garibay: NL4Py: Agent-based modeling in Python with parallelizable NetLogo workspaces (2021) not zbMATH
  5. David Doty, Eric Severson: ppsim: A software package for efficiently simulating and visualizing population protocols (2021) arXiv
  6. 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)
  7. Jannis M. Hoch, Sophie de Bruin, Niko Wanders: CoPro: a data-driven modelling framework for conflict risk projections (2021) not zbMATH
  8. Kelley, Luke Zoltan: kalepy: a Python package for kernel density estimation, sampling and plotting (2021) not zbMATH
  9. Kevin Kramer; Johan Chang: Visualization of Multi-Dimensional Data - The data-slicer Package (2021) not zbMATH
  10. Kummer, Florian; Weber, Jens; Smuda, Martin: BoSSS: a package for multigrid extended discontinuous Galerkin methods (2021)
  11. 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
  12. Müller, Meinard: Fundamentals of music processing. Using Python and Jupyter notebooks (2021)
  13. 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
  14. 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)
  15. Pessa, Arthur A. B.; Ribeiro, Haroldo V.: ordpy: a Python package for data analysis with permutation entropy and ordinal network methods (2021)
  16. Qiusheng Wu: Leafmap: A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment (2021) not zbMATH
  17. Romeo Kienzler, Ivan Nesic: CLAIMED, a visual and scalable component library for Trusted AI (2021) arXiv
  18. Simon Knapen, Jonathan Kozaczuk, Tongyan Lin: DarkELF: A python package for dark matter scattering in dielectric targets (2021) arXiv
  19. 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
  20. Weitz, Edmund: Concrete mathematics (not only) for computer scientists. With many graphics and algorithms in Python. With illustrations by Heike Stephan (2021)

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