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 379 articles )

Showing results 221 to 240 of 379.
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  1. Piotr Szymanski: A scikit-based Python environment for performing multi-label classification (2017) arXiv
  2. Přikryl, Jan; Vaniš, Miroslav: Comparing numerical integration schemes for a car-following model with real-world data. (2017)
  3. Qiming Sun, Timothy C. Berkelbach, Nick S. Blunt, George H. Booth, Sheng Guo, Zhendong Li, Junzi Liu, James McClain, Sandeep Sharma, Sebastian Wouters, Garnet Kin-Lic Chan: The Python-based Simulations of Chemistry Framework (PySCF) (2017) arXiv
  4. Reiter, Paul; Ziegelwanger, Harald: Multi-domain boundary element method for axi-symmetric layered linear acoustic systems (2017)
  5. Ryan R. Curtin, Shikhar Bhardwaj, Marcus Edel, Yannis Mentekidis: A generic and fast C++ optimization framework (2017) arXiv
  6. Zhang Y., Bilheux J.: ImagingReso: A Tool for Neutron Resonance Imaging (2017) not zbMATH
  7. Arthur, Robert; Dorey, Patrick; Parini, Robert: Breaking integrability at the boundary: the sine-Gordon model with Robin boundary conditions (2016)
  8. Berk Ekmekci, Charles E. McAnany, Cameron Mura: An Introduction to Programming for Bioscientists: A Python-based Primer (2016) arXiv
  9. Bernardo, Reginald Christian S.; Esguerra, Jose Perico H.: Quantum scattering in one-dimensional systems satisfying the minimal length uncertainty relation (2016)
  10. Bernardo, Reginald Christian S.; Esguerra, Jose Perico H.: Energy levels of one-dimensional systems satisfying the minimal length uncertainty relation (2016)
  11. Blumentals, Alejandro; Brogliato, Bernard; Bertails-Descoubes, Florence: The contact problem in Lagrangian systems subject to bilateral and unilateral constraints, with or without sliding Coulomb’s friction: a tutorial (2016)
  12. Borthwick, David; Weich, Tobias: Symmetry reduction of holomorphic iterated function schemes and factorization of Selberg zeta functions (2016)
  13. Broussard, Aaron M.; Malandro, Martin E.; Serreyn, Abagayle: Optimizing the video game multi-jump: player strategy, AI, and level design (2016)
  14. Craig, Katy; Bertozzi, Andrea L.: A blob method for the aggregation equation (2016)
  15. Davis, Jon H.: Methods of applied mathematics with a software overview (2016)
  16. Deadman, Edvin; Higham, Nicholas J.: Testing matrix function algorithms using identities (2016)
  17. Doran, Gary; Ray, Soumya: Multiple-instance learning from distributions (2016)
  18. Elfverson, Daniel; Hellman, Fredrik; Målqvist, Axel: A multilevel Monte Carlo method for computing failure probabilities (2016)
  19. Ferreira, Vanderley jun.; Gazzola, Filippo; Moreira dos Santos, Ederson: Instability of modes in a partially hinged rectangular plate (2016)
  20. Garrido, José M.: Introduction to computational models with Python (2016)

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