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 77 articles )

Showing results 61 to 77 of 77.
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  1. Endo, Wagner; Santos, Fernando P.; Simpson, David; Maciel, Carlos D.; Newland, Philip L.: Delayed mutual information infers patterns of synaptic connectivity in a proprioceptive neural network (2015)
  2. 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
  3. Mentrelli, Andrea; Pagnini, Gianni: Front propagation in anomalous diffusive media governed by time-fractional diffusion (2015)
  4. Tyvand, Peder A.; Lepperød, Mikkel Elle: Doppler effects of an oscillating line source in shear flow with a free surface (2015)
  5. Christophe Pouzat, Georgios Is. Detorakis: SPySort: Neuronal Spike Sorting with Python (2014) arXiv
  6. Joseph, A. C.; Chen, G.: Composite centrality: a natural scale for complex evolving networks (2014)
  7. Lyonnet, F.; Schienbein, I.; Staub, F.; Wingerter, A.: PyR@TE (2014)
  8. Oxvig, C.S., Pedersen, P.S., Arildsen, T., Østergaard, J., Larsen, T.: Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images (2014) not zbMATH
  9. Unpingco, José: Python for signal processing. Featuring IPython notebooks (2014)
  10. Anand Patil; David Huard; Christopher Fonnesbeck: PyMC: Bayesian Stochastic Modelling in Python (2010) not zbMATH
  11. Huard, David; Mailhot, Alain; Duchesne, Sophie: Bayesian estimation of intensity-duration-frequency curves and of the return period associated to a given rainfall event (2010)
  12. 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
  13. Ramachandran, Prabhu; Ramakrishna, M.: An object-oriented design for two-dimensional vortex particle methods (2009)
  14. Tierney, Luke; Rossini, A. J.; Li, Na: \textttSnow: A parallel computing framework for the R system (2009)
  15. Dalcín, Lisandro; Paz, Rodrigo; Storti, Mario; D’elía, Jorge: MPI for python: performance improvements and MPI-2 extensions (2008) ioport
  16. Koepsell, Kilian; Sommer, Friedrich T.: Information transmission in oscillatory neural activity (2008)
  17. Perez, Fernando; Granger, Brian E.: Ipython: A system for interactive scientific computing (2007) ioport