Cython is an optimising static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself.

References in zbMATH (referenced in 40 articles )

Showing results 1 to 20 of 40.
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  1. Linge, Svein; Langtangen, Hans Petter: Programming for computations -- Python. A gentle introduction to numerical simulations with Python 3.6 (2020)
  2. Benjamin W. L. Margolis, Kenneth R. Lyons: ndsplines: A Python Library for Tensor-Product B-Splines of Arbitrary Dimension (2019) not zbMATH
  3. Cimrman, Robert; Lukeš, Vladimír; Rohan, Eduard: Multiscale finite element calculations in Python using sfepy (2019)
  4. O. R. Bingol, A. Krishnamurthy: NURBS-Python: An open-source object-oriented NURBS modeling framework in Python (2019) not zbMATH
  5. Ashwin Vishnu Mohanan; Cyrille Bonamy; Miguel Calpe Linares; Pierre Augier: FluidSim: modular, object-oriented Python package for high-performance CFD simulations (2018) arXiv
  6. Brendon Brewer; Daniel Foreman-Mackey: DNest4: Diffusive Nested Sampling in C++ and Python (2018) not zbMATH
  7. Daniel Varab, Natalie Schluter: UniParse: A universal graph-based parsing toolkit (2018) arXiv
  8. Jason K. Moore; Antonie van den Bogert: opty: Software for trajectory optimization and parameter identification using direct collocation (2018) not zbMATH
  9. Morra, Gabriele: Pythonic geodynamics. Implementations for fast computing (2018)
  10. Oliver Laslett, Jonathon Waters, Hans Fangohr, Ondrej Hovorka: Magpy: A C++ accelerated Python package for simulating magnetic nanoparticle stochastic dynamics (2018) arXiv
  11. Phillip Weinberg, Marin Bukov: QuSpin: a Python Package for Dynamics and Exact Diagonalisation of Quantum Many Body Systems. Part II: bosons, fermions and higher spins (2018) arXiv
  12. Schreiber, Jacob: pomegranate: fast and flexible probabilistic modeling in Python (2018)
  13. Amen, Saeed: Using Python to analyse financial markets (2017)
  14. Coelho, L.P.: Jug: Software for Parallel Reproducible Computation in Python (2017) not zbMATH
  15. Ehrhardt, Matthias (ed.); Günther, Michael (ed.); ter Maten, E. Jan W. (ed.): Novel methods in computational finance (2017)
  16. Jerker Nordh: pyParticleEst: A Python Framework for Particle-Based Estimation Methods (2017) not zbMATH
  17. Kirby, Robert C.: Fast inversion of the simplicial Bernstein mass matrix (2017)
  18. Langtangen, Hans Petter; Linge, Svein: Finite difference computing with PDEs. A modern software approach (2017)
  19. Ndiaye, Eugene; Fercoq, Olivier; Gramfort, Alexandre; Salmon, Joseph: Gap safe screening rules for sparsity enforcing penalties (2017)
  20. Niemeyer, Kyle E.; Curtis, Nicholas J.; Sung, Chih-Jen: \textttpyJac: analytical Jacobian generator for chemical kinetics (2017)

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