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 9 articles )

Showing results 1 to 9 of 9.
Sorted by year (citations)

  1. 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)
  2. Linge, Svein; Langtangen, Hans Petter: Programming for computations -- Python. A gentle introduction to numerical simulations with Python (2016)
  3. Milk, René; Rave, Stephan; Schindler, Felix: PyMOR -- generic algorithms and interfaces for model order reduction (2016)
  4. Mentrelli, Andrea; Pagnini, Gianni: Front propagation in anomalous diffusive media governed by time-fractional diffusion (2015)
  5. Joseph, A.C.; Chen, G.: Composite centrality: a natural scale for complex evolving networks (2014)
  6. 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)
  7. Tierney, Luke; Rossini, A.J.; Li, Na: Snow: A parallel computing framework for the R system (2009)
  8. Dalcín, Lisandro; Paz, Rodrigo; Storti, Mario; D’elía, Jorge: MPI for python: performance improvements and MPI-2 extensions (2008)
  9. Koepsell, Kilian; Sommer, Friedrich T.: Information transmission in oscillatory neural activity (2008)