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 556 articles )

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  1. Albuquerque-Ferreira, A. C.; Ureña, Miguel; Higinio Ramos: The generalized finite difference method with third- and fourth-order approximations and treatment of ill-conditioned stars (2021)
  2. Antoine Prouvost, Justin Dumouchelle, Maxime Gasse, Didier Chételat, Andrea Lodi: Ecole: A Library for Learning Inside MILP Solvers (2021) arXiv
  3. Arthur A. B. Pessa, Haroldo V. Ribeiro: ordpy: A Python package for data analysis with permutation entropy and ordinal network methods (2021) arXiv
  4. B. Boys, T. J. Dodwell, M. Hobbs, M. Girolami: PeriPy - A High Performance OpenCL Peridynamics Package (2021) arXiv
  5. Bender, Jason D.; Schilling, Oleg; Raman, Kumar S.; Managan, Robert A.; Olson, Britton J.; Copeland, Sean R.; Ellison, C. Leland; Erskine, David J.; Huntington, Channing M.; Morgan, Brandon E.; Nagel, Sabrina R.; Prisbrey, Shon T.; Pudliner, Brian S.; Sterne, Philip A.; Wehrenberg, Christopher E.; Zhou, Ye: Simulation and flow physics of a shocked and reshocked high-energy-density mixing layer (2021)
  6. Benjamin F. Maier: epipack: An infectious disease modeling package for Python (2021) not zbMATH
  7. Chaudhry, Jehanzeb H.; Collins, J. B.: \textitAposteriori error estimation for the spectral deferred correction method (2021)
  8. Christophe Besse, Romain Duboscq, Stefan Le Coz: Numerical Simulations on Nonlinear Quantum Graphs with the GraFiDi Library (2021) arXiv
  9. Eike Caldeweyher: kallisto: A command-line interface to simplify computational modelling and the generation of atomic features (2021) not zbMATH
  10. Franz, Silvio; Sclocchi, Antonio; Urbani, Pierfrancesco: Surfing on minima of isostatic landscapes: avalanches and unjamming transition (2021)
  11. Haan, Sebastian: GeoBO: Python package for Multi-Objective Bayesian Optimisation and Joint Inversion in Geosciences (2021) not zbMATH
  12. Haghighat, Ehsan; Juanes, Ruben: SciANN: a keras/tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks (2021)
  13. Haghighat, Ehsan; Raissi, Maziar; Moure, Adrian; Gomez, Hector; Juanes, Ruben: A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics (2021)
  14. Han, Dongge; Harrenstein, Paul; Nugent, Steven; Philpott, Jonathan; Wooldridge, Michael: Behavioural strategies in weighted Boolean games (2021)
  15. Higa, Kenneth; Battaglia, Vincent S.; Srinivasan, Venkat: PyGDH: Python Grid Discretization Helper (2021) not zbMATH
  16. Jason Rumengan, Terry Yue Zhuo, Conrad Sanderson: PyArmadillo: a streamlined linear algebra library for Python (2021) arXiv
  17. Josef Kaufmann; Karsten Held; Institute for Solid State Physics TU Wien: ana_cont: Python package for analytic continuation (2021) arXiv
  18. Jost Migenda; Susan Cartwright; Liz Kneale; Matthew Malek; Yan-Jie Schnellbach; Owen Stone: sntools: An event generator for supernova burst neutrinos (2021) not zbMATH
  19. Karban, Pavel; Pánek, David; Orosz, Tamás; Petrášová, Iveta; Doležel, Ivo: FEM based robust design optimization with Agros and Ārtap (2021)
  20. Kelley, Luke Zoltan: kalepy: a Python package for kernel density estimation, sampling and plotting (2021) not zbMATH

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