matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell (ala MATLAB®* or Mathematica®†), web application servers, and six graphical user interface toolkits.

References in zbMATH (referenced in 77 articles )

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  1. Brendon Brewer; Daniel Foreman-Mackey: DNest4: Diffusive Nested Sampling in C++ and Python (2018)
  2. Crean, Jared; Hicken, Jason E.; Del Rey Fernández, David C.; Zingg, David W.; Carpenter, Mark H.: Entropy-stable summation-by-parts discretization of the Euler equations on general curved elements (2018)
  3. Ignatiev, Alexey; Morgado, Antonio; Marques-Silva, Joao: PySAT: A Python toolkit for prototyping with SAT oracles (2018)
  4. Jason Laura; Kelvin Rodriguez; Adam C. Paquette; Evin Dunn: AutoCNet: A Python library for sparse multi-image correspondence identification for planetary data (2018)
  5. Matsypura, Dmytro; Prokopyev, Oleg A.; Zahar, Aizat: Wildfire fuel management: network-based models and optimization of prescribed burning (2018)
  6. Minjie Zhu, Frank McKenna, Michael H. Scott: OpenSeesPy: Python library for the OpenSees finite element framework (2018)
  7. Morra, Gabriele: Pythonic geodynamics. Implementations for fast computing (2018)
  8. Palmer, Geraint I.; Harper, Paul R.; Knight, Vincent A.: Modelling deadlock in open restricted queueing networks (2018)
  9. Stergiou, Andreas: Bootstrapping hypercubic and hypertetrahedral theories in three dimensions (2018)
  10. Timofey Mukha: Turbulucid: A Python Package for Post-Processing of Fluid Flow Simulations (2018) arXiv
  11. Bryan W. Weber, Chih-Jen Sung: UConnRCMPy: Python-based data analysis for rapid compression machines (2017) arXiv
  12. Chrétien, Stéphane; Darses, Sébastien; Guyeux, Christophe; Clarkson, Paul: On the pinning controllability of complex networks using perturbation theory of extreme singular values. Application to synchronisation in power grids (2017)
  13. Deen, Rehan; Ovrut, Burt: $N=1$ supergravitational heterotic galileons (2017)
  14. Douglas De Rizzo Meneghetti, Plinio Thomaz Aquino Junior: Computerized Adaptive Testing Simulation Through the Package catsim (2017) arXiv
  15. Leon Thurner, Alexander Scheidler, Florian Schaefer, Jan-Hendrik Menke, Julian Dollichon, Friederike Meier, Steffen Meinecke, Martin Braun: Pandapower - an Open Source Python Tool for Convenient Modeling, Analysis and Optimization of Electric Power Systems (2017) arXiv
  16. Matthew Wood, Regina Caputo, Eric Charles, Mattia Di Mauro, Jeffrey Magill, Jeremy Perkins for the Fermi-LAT Collaboration: Fermipy: An open-source Python package for analysis of Fermi-LAT Data (2017) arXiv
  17. Miller, Jonah M.; Schnetter, Erik: An operator-based local discontinuous Galerkin method compatible with the BSSN formulation of the Einstein equations (2017)
  18. Myers, A.; Colella, P.; Straalen, B.van: A 4th-order particle-in-cell method with phase-space remapping for the Vlasov-Poisson equation (2017)
  19. Pierre Fernique, Christophe Pradal: AutoWIG: Automatic Generation of Python Bindings for C++ Libraries (2017) arXiv
  20. Sebastian Krämer, David Plankensteiner, Laurin Ostermann, Helmut Ritsch: QuantumOptics.jl: A Julia framework for simulating open quantum systems (2017) arXiv

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