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 48 articles )

Showing results 1 to 20 of 48.
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. Ketcheson, David I.; LeVeque, Randall J.; del Razo, Mauricio J.: Riemann problems and Jupyter solutions (2020)
  4. 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
  5. Matthias Mittner: pypillometry: A Python package for pupillometric analyses (2020) not zbMATH
  6. Michael Ortner; Lucas Gabriel; Coliado Bandeira: Magpylib: A free Python package for magnetic field computation (2020) not zbMATH
  7. Nathan Hughes; Richard J. Morris; Melissa Tomkins: PyEscape: A narrow escape problem simulator package for Python (2020) not zbMATH
  8. Sayols, Narcís; Xambó-Descamps, Sebastià: Computer algebra tales on Goppa codes and McEliece cryptography (2020)
  9. Timotheus Kampik, Juan Carlos Nieves: JS-son - A Lean, Extensible JavaScript Agent Programming Library (2020) arXiv
  10. Yuriy Babin: Recan: Python tool for analysis of recombination events in viral genomes (2020) not zbMATH
  11. Zachary del Rosario: Grama: A Grammar of Model Analysis (2020) not zbMATH
  12. Adrien Leger; Tommaso Leonardi: pycoQC, interactive quality control for Oxford NanoporeSequencing (2019) not zbMATH
  13. Amann, Kai; Kohlhase, Michael; Rabe, Florian; Wiesing, Tom: Integrating semantic mathematical documents and dynamic notebooks (2019)
  14. Dedner, Andreas; Kane, Birane; Klöfkorn, Robert; Nolte, Martin: Python framework for hp-adaptive discontinuous Galerkin methods for two-phase flow in porous media (2019)
  15. 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
  16. Marcello Seri; Ta-Chu Kao: OwlDE: making ODEs first-class Owl citizens (2019) not zbMATH
  17. 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
  18. Michael Hippke, Trevor J. David, Gijs D. Mulders, René Heller: Wotan: Comprehensive time-series de-trending in Python (2019) arXiv
  19. Pascal Audet; Colin J. Thomson; Michael G. Bostock; Tom Eulenfeld: Telewavesim: Python software for teleseismic body wavemodeling (2019) not zbMATH
  20. 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

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