SciPy

SciPy (pronounced ”Sigh Pie”) is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world’s leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!


References in zbMATH (referenced in 524 articles )

Showing results 1 to 20 of 524.
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  1. Arthur A. B. Pessa, Haroldo V. Ribeiro: ordpy: A Python package for data analysis with permutation entropy and ordinal network methods (2021) arXiv
  2. Benjamin F. Maier: epipack: An infectious disease modeling package for Python (2021) not zbMATH
  3. Chaudhry, Jehanzeb H.; Collins, J. B.: \textitAposteriori error estimation for the spectral deferred correction method (2021)
  4. Christophe Besse, Romain Duboscq, Stefan Le Coz: Numerical Simulations on Nonlinear Quantum Graphs with the GraFiDi Library (2021) arXiv
  5. Haan, Sebastian: GeoBO: Python package for Multi-Objective Bayesian Optimisation and Joint Inversion in Geosciences (2021) not zbMATH
  6. Han, Dongge; Harrenstein, Paul; Nugent, Steven; Philpott, Jonathan; Wooldridge, Michael: Behavioural strategies in weighted Boolean games (2021)
  7. Higa, Kenneth; Battaglia, Vincent S.; Srinivasan, Venkat: PyGDH: Python Grid Discretization Helper (2021) not zbMATH
  8. Karban, Pavel; Pánek, David; Orosz, Tamás; Petrášová, Iveta; Doležel, Ivo: FEM based robust design optimization with Agros and Ārtap (2021)
  9. Kelley, Luke Zoltan: kalepy: a Python package for kernel density estimation, sampling and plotting (2021) not zbMATH
  10. Petri Laarne, Martha A. Zaidan, Tuomo Nieminen: ennemi: Non-linear correlation detection with mutual information (2021) not zbMATH
  11. P. Joseph, C. S. Stalin, S. N. Tandon, S. K. Ghosh: Curvit: An open-source Python package to generate light curves from UVIT data (2021) arXiv
  12. Qiusheng Wu: lidar: A Python package for delineating nested surface depressions from digital elevation data (2021) not zbMATH
  13. Robert Falck; Justin S. Gray; Kaushik Ponnapalli; Ted Wright: dymos: A Python package for optimal control of multidisciplinary systems (2021) not zbMATH
  14. Robert Morgan; Brian Nord; Simon Birrer; Joshua Yao-Yu Lin; Jason Poh: deeplenstronomy: A dataset simulation package for strong gravitational lensing (2021) not zbMATH
  15. Taewon David Kim, Michael Richer, Gabriela Sánchez-Díaz, Farnaz Heidar-Zadeh, Toon Verstraelen, Ramón Alain Miranda-Quintana, Paul W. Ayers: Fanpy: A Python Library for Prototyping Multideterminant Methods in Ab Initio Quantum Chemistry (2021) arXiv
  16. Timo Betcke; Matthew W. Scroggs: Bempp-cl: A fast Python based just-in-time compiling boundary element library (2021) not zbMATH
  17. Yuan, Tianlu: The 8-parameter Fisher-Bingham distribution on the sphere (2021)
  18. Zoltan Csati, Jean-François Witz, Vincent Magnier, Ahmed El Bartali, Nathalie Limodin; Denis Najjar: CristalX: Facilitating simulations for experimentally obtained grain-based microstructures (2021) not zbMATH
  19. Aguirre-Mesa, Andres M.; Garcia, Manuel J.; Millwater, Harry: MultiZ: a library for computation of high-order derivatives using multicomplex or multidual numbers (2020)
  20. Alain Jungo, Olivier Scheidegger, Mauricio Reyes, Fabian Balsiger: pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis (2020) arXiv

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