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 385 articles )

Showing results 21 to 40 of 385.
Sorted by year (citations)

previous 1 2 3 4 ... 18 19 20 next

  1. Kumar, Abhishek; Pothérat, Alban: Mixed baroclinic convection in a cavity (2020)
  2. Landel, Julien R.; Peaudecerf, François J.; Temprano-Coleto, Fernando; Gibou, Frédéric; Goldstein, Raymond E.; Luzzatto-Fegiz, Paolo: A theory for the slip and drag of superhydrophobic surfaces with surfactant (2020)
  3. Landet, Tormod; Mardal, Kent-Andre; Mortensen, Mikael: Slope limiting the velocity field in a discontinuous Galerkin divergence-free two-phase flow solver (2020)
  4. Linge, Svein; Langtangen, Hans Petter: Programming for computations -- Python. A gentle introduction to numerical simulations with Python 3.6 (2020)
  5. Marsland, Stephen; McLachlan, Robert I.; Wilkins, Matthew C.: Parallelization, initialization, and boundary treatments for the diamond scheme (2020)
  6. Michael Ortner; Lucas Gabriel; Coliado Bandeira: Magpylib: A free Python package for magnetic field computation (2020) not zbMATH
  7. Muammar El Khatib, Wibe A de Jong: ML4Chem: A Machine Learning Package for Chemistry and Materials Science (2020) arXiv
  8. Palagi, Laura; Seccia, Ruggiero: Block layer decomposition schemes for training deep neural networks (2020)
  9. Paulo Paneque Galuzio, Emerson Hochsteiner de Vasconcelos Segundo, Leandro dos Santos Coelho, Viviana Cocco Mariani: MOBOpt - multi-objective Bayesian optimization (2020) not zbMATH
  10. R. Adhikari, Austen Bolitho, Fernando Caballero, Michael E. Cates, Jakub Dolezal, Timothy Ekeh, Jules Guioth, Robert L. Jack, Julian Kappler, Lukas Kikuchi, Hideki Kobayashi, Yuting I. Li, Joseph D. Peterson, Patrick Pietzonka, Benjamin Remez, Paul B. Rohrbach, Rajesh Singh, Günther Turk: Inference, prediction and optimization of non-pharmaceutical interventions using compartment models: the PyRoss library (2020) arXiv
  11. Ranocha, Hendrik; Sayyari, Mohammed; Dalcin, Lisandro; Parsani, Matteo; Ketcheson, David I.: Relaxation Runge-Kutta methods: fully discrete explicit entropy-stable schemes for the compressible Euler and Navier-Stokes equations (2020)
  12. Saengkyongam, Sorawit; Hayter, Anthony; Kiatsupaibul, Seksan; Liu, Wei: Efficient computation of the stochastic behavior of partial sum processes (2020)
  13. Sandeep Singh Sandha, Mohit Aggarwal, Igor Fedorov, Mani Srivastava: MANGO: A Python Library for Parallel Hyperparameter Tuning (2020) arXiv
  14. Stephan Stock; Jonas Kemmer: AliasFinder: A Python script to search for the true planetary frequency within radial velocity data (2020) not zbMATH
  15. Tobias Stål, Anya M. Reading: A Grid for Multidimensional and Multivariate Spatial Representation and Data Processing (2020) not zbMATH
  16. Yihong Z. Mauro; Collin J. Wilkinson; John C. Mauro: KineticPy: A tool to calculate long-time kinetics in energy landscapes with broken ergodicity (2020) not zbMATH
  17. Agrell, Christian: Gaussian processes with linear operator inequality constraints (2019)
  18. Ahmed, Elyes; Fumagalli, Alessio; Budiša, Ana: A multiscale flux basis for mortar mixed discretizations of reduced Darcy-Forchheimer fracture models (2019)
  19. Albin, Nathan; Fernando, Nethali; Poggi-Corradini, Pietro: Modulus metrics on networks (2019)
  20. Andreas F. Haselsteiner; Jannik Lehmkuhl; Tobias Pape; Kai-Lukas Windmeier; Klaus-Dieter Thoben: ViroCon: A software to compute multivariate extremes using the environmental contour method (2019) not zbMATH

previous 1 2 3 4 ... 18 19 20 next