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.

Keywords for this software

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References in zbMATH (referenced in 44 articles )

Showing results 1 to 20 of 44.
Sorted by year (citations)

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  1. Bell Raj Eapen, Norm Archer, Kamran Sartipi: QRMine: A python package for triangulation in Grounded Theory (2020) arXiv
  2. Emmanuel Jordy Menvouta, Sven Serneels, Tim Verdonck: direpack: A Python 3 package for state-of-the-art statistical dimension reduction methods (2020) arXiv
  3. 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
  4. Michael Ortner; Lucas Gabriel; Coliado Bandeira: Magpylib: A free Python package for magnetic field computation (2020) not zbMATH
  5. Nathan Hughes; Richard J. Morris; Melissa Tomkins: PyEscape: A narrow escape problem simulator package for Python (2020) not zbMATH
  6. Timotheus Kampik, Juan Carlos Nieves: JS-son - A Lean, Extensible JavaScript Agent Programming Library (2020) arXiv
  7. Yuriy Babin: Recan: Python tool for analysis of recombination events in viral genomes (2020) not zbMATH
  8. Adrien Leger; Tommaso Leonardi: pycoQC, interactive quality control for Oxford NanoporeSequencing (2019) not zbMATH
  9. Amann, Kai; Kohlhase, Michael; Rabe, Florian; Wiesing, Tom: Integrating semantic mathematical documents and dynamic notebooks (2019)
  10. Dedner, Andreas; Kane, Birane; Klöfkorn, Robert; Nolte, Martin: Python framework for hp-adaptive discontinuous Galerkin methods for two-phase flow in porous media (2019)
  11. Gostick J, Khan ZA, Tranter TG, Kok MDR, Agnaou M, Sadeghi MA, Jervis R.: PoreSpy: A Python Toolkit for Quantitative Analysis of Porous Media Images (2019) not zbMATH
  12. Marcello Seri; Ta-Chu Kao: OwlDE: making ODEs first-class Owl citizens (2019) not zbMATH
  13. Michael H. Goerz, Daniel Basilewitsch, Fernando Gago-Encinas, Matthias G. Krauss, Karl P. Horn, Daniel M. Reich, Christiane P. Koch: Krotov: A Python implementation of Krotov’s method for quantum optimal control (2019) arXiv
  14. Michael Hippke, Trevor J. David, Gijs D. Mulders, René Heller: Wotan: Comprehensive time-series de-trending in Python (2019) arXiv
  15. Pascal Audet; Colin J. Thomson; Michael G. Bostock; Tom Eulenfeld: Telewavesim: Python software for teleseismic body wavemodeling (2019) not zbMATH
  16. Romain Beucher; Louis Moresi; Julian Giordani; John Mansour; Dan Sandiford; Rebecca Farrington; Luke Mondy; Claire Mallard; Patrice Rey; Guillaume Duclaux; Owen Kaluza; Arijit Laik; Sara Morón: UWGeodynamics: A teaching and research tool fornumerical geodynamic modelling (2019) not zbMATH
  17. Speck, Robert: Algorithm 997(\mathrm_) pySDC -- prototyping spectral deferred corrections (2019)
  18. Toccaceli, Paolo; Gammerman, Alexander: Combination of inductive Mondrian conformal predictors (2019)
  19. Wheeler, D., Keller, T., DeWitt, S.J., Jokisaari, A.M., Schwen, D., Guyer, J.E., Aagesen, L.K., Heinonen, O.G., Tonks, M.R., Voorhees, P.W., Warren, J.A: PFHub: The Phase-Field Community Hub (2019) not zbMATH
  20. Bisotti, M.-A., Cortés-Ortuño, D., Pepper, R., Wang, W., Beg, M., Kluyver, T., Fangohr, H.: Fidimag - A Finite Difference Atomistic and Micromagnetic Simulation Package (2018) not zbMATH

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