IPython

IPython: a system for interactive scientific computing. IPython provides a rich architecture for interactive computing with: A powerful interactive shell. A kernel for Jupyter. Support for interactive data visualization and use of GUI toolkits. Flexible, embeddable interpreters to load into your own projects. Easy to use, high performance tools for parallel computing.


References in zbMATH (referenced in 24 articles )

Showing results 1 to 20 of 24.
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  1. Benjamin Guedj, Bhargav Srinivasa Desikan: Pycobra: A Python Toolbox for Ensemble Learning and Visualisation (2017) arXiv
  2. Bryan W. Weber, Chih-Jen Sung: UConnRCMPy: Python-based data analysis for rapid compression machines (2017) arXiv
  3. D. Ranathunga, H. Nguyen, M. Roughan: MGtoolkit: A python package for implementing metagraphs (2017) misc
  4. Myers, A.; Colella, P.; Straalen, B.van: A 4th-order particle-in-cell method with phase-space remapping for the Vlasov-Poisson equation (2017)
  5. Pierre Fernique, Christophe Pradal: AutoWIG: Automatic Generation of Python Bindings for C++ Libraries (2017) arXiv
  6. Stewart, John M.: Python for scientists (2017)
  7. Drawert, Brian; Trogdon, Michael; Toor, Salman; Petzold, Linda; Hellander, Andreas: MOLNs: a cloud platform for interactive, reproducible, and scalable spatial stochastic computational experiments in systems biology using pyurdme (2016) ioport
  8. Keip, Marc-Andre; Rambausek, Matthias: A multiscale approach to the computational characterization of magnetorheological elastomers (2016)
  9. Kraus, Michael; Tassi, Emanuele; Grasso, Daniela: Variational integrators for reduced magnetohydrodynamics (2016)
  10. Linge, Svein; Langtangen, Hans Petter: Programming for computations -- Python. A gentle introduction to numerical simulations with Python (2016)
  11. Liu, Yinping; Yao, Ruoxia; Li, Zhibin; Yang, Le; Zhang, Zhian: An online computing and knowledge platform for differential equations (2016)
  12. Milk, René; Rave, Stephan; Schindler, Felix: PyMOR -- generic algorithms and interfaces for model order reduction (2016)
  13. Unpingco, José: Python for probability, statistics, and machine learning (2016)
  14. Donges, Jonathan F.; Heitzig, Jobst; Beronov, Boyan; Wiedermann, Marc; Runge, Jakob; Feng, Qing Yi; Tupikina, Liubov; Stolbova, Veronika; Donner, Reik V.; Marwan, Norbert; Dijkstra, Henk A.; Kurths, Jürgen: Unified functional network and nonlinear time series analysis for complex systems science: the pyunicorn package (2015)
  15. Jonathan F. Donges, Jobst Heitzig, Boyan Beronov, Marc Wiedermann, Jakob Runge, Qing Yi Feng, Liubov Tupikina, Veronika Stolbova, Reik V. Donner, Norbert Marwan, Henk A. Dijkstra, J. Kurths: Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package (2015) arXiv
  16. Mentrelli, Andrea; Pagnini, Gianni: Front propagation in anomalous diffusive media governed by time-fractional diffusion (2015)
  17. Joseph, A.C.; Chen, G.: Composite centrality: a natural scale for complex evolving networks (2014)
  18. Lyonnet, F.; Schienbein, I.; Staub, F.; Wingerter, A.: PyR@TE (2014)
  19. Mościcki, J.T.; Brochu, F.; Ebke, J.; Egede, U.; Elmsheuser, J.; Harrison, K.; Jones, R.W.L.; Lee, H.C.; Liko, D.; Maier, A.; Muraru, A.; Patrick, G.N.; Pajchel, K.; Reece, W.; Samset, B.H.; Slater, M.W.; Soroko, A.; Tan, C.L.; Van Der Ster, D.C.; Williams, M.: Ganga: A tool for computational-task management and easy access to grid resources (2009) ioport
  20. Ramachandran, Prabhu; Ramakrishna, M.: An object-oriented design for two-dimensional vortex particle methods (2009)

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