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 677 articles )

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  1. Chen, Haotian: On locating the zeros and poles of a meromorphic function (2022)
  2. Kovacs, Alexander; Exl, Lukas; Kornell, Alexander; Fischbacher, Johann; Hovorka, Markus; Gusenbauer, Markus; Breth, Leoni; Oezelt, Harald; Yano, Masao; Sakuma, Noritsugu; Kinoshita, Akihito; Shoji, Tetsuya; Kato, Akira; Schrefl, Thomas: Conditional physics informed neural networks (2022)
  3. Albuquerque-Ferreira, A. C.; Ureña, Miguel; Ramos, Higinio: The generalized finite difference method with third- and fourth-order approximations and treatment of ill-conditioned stars (2021)
  4. Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo: Automatic dataset builder for Machine Learning applications to satellite imagery (2021) not zbMATH
  5. Alfredo Mejia-Narvaez, Gustavo Bruzual, Sebastian F. Sanchez, Leticia Carigi, Jorge Barrera-Ballesteros, Mabel Valerdi, Renbin Yan, Niv Drory: CoSHA: Code for Stellar properties Heuristic Assignment - for the MaStar stellar library (2021) arXiv
  6. Amini Niaki, Sina; Haghighat, Ehsan; Campbell, Trevor; Poursartip, Anoush; Vaziri, Reza: Physics-informed neural network for modelling the thermochemical curing process of composite-tool systems during manufacture (2021)
  7. Andrew J. Moodie, Jayaram Hariharan, Eric Barefoot, Paola Passalacqua: pyDeltaRCM: a exible numerical delta model (2021) not zbMATH
  8. Antoine Prouvost, Justin Dumouchelle, Maxime Gasse, Didier Chételat, Andrea Lodi: Ecole: A Library for Learning Inside MILP Solvers (2021) arXiv
  9. Arthur A. B. Pessa, Haroldo V. Ribeiro: ordpy: A Python package for data analysis with permutation entropy and ordinal network methods (2021) arXiv
  10. Bahmani, Bahador; Sun, WaiChing: A kd-tree-accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data (2021)
  11. Bakker, L. M. M. L.; Xiao, N.; van de Ven, A. A. F.; Schaap, M.; van de Vosse, F. N.; Taylor, C. A.: Image-based blood flow estimation using a semi-analytical solution to the advection-diffusion equation in cylindrical domains (2021)
  12. Barnafi, Nicolás; Zunino, Paolo; Dedè, Luca; Quarteroni, Alfio: Mathematical analysis and numerical approximation of a general linearized poro-hyperelastic model (2021)
  13. Barratt, Shane; Angeris, Guillermo; Boyd, Stephen: Optimal representative sample weighting (2021)
  14. B. Boys, T. J. Dodwell, M. Hobbs, M. Girolami: PeriPy - A High Performance OpenCL Peridynamics Package (2021) arXiv
  15. 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)
  16. Benjamin F. Maier: epipack: An infectious disease modeling package for Python (2021) not zbMATH
  17. Benjamin Rodenberg, Ishaan Desai, Richard Hertrich, Alexander Jaust, Benjamin Uekermann: FEniCS-preCICE: Coupling FEniCS to other simulation software (2021) not zbMATH
  18. Boys, B.; Dodwell, T. J.; Hobbs, M.; Girolami, M.: PeriPy -- a high performance peridynamics package (2021)
  19. Carter Lee Rhea, Julie Hlavacek-Larrondo, Laurie Rousseau-Nepton, Benjamin Vigneron, Louis-Simon Guité: LUCI: A Python package for SITELLE spectral analysis (2021) arXiv
  20. Cechlárová, Katarína; Hančová, Martina; Plačková, Diana; Baltesová, Tatiana: Stochastic modelling and simulation of a kidney transplant waiting list (2021)

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