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 492 articles )

Showing results 361 to 380 of 492.
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  1. Pollock, Sara: Stabilized and inexact adaptive methods for capturing internal layers in quasilinear PDE (2016)
  2. Queiruga, Alejandro Francisco; Zohdi, Tarek I.: Formulation and numerical analysis of a fully-coupled dynamically deforming electromagnetic wire (2016)
  3. Ramanantoanina, Andriamihaja; Hui, Cang: Formulating spread of species with habitat dependent growth and dispersal in heterogeneous landscapes (2016)
  4. Richardson, Casey L.; Younes, Laurent: Metamorphosis of images in reproducing kernel Hilbert spaces (2016)
  5. Robert S. Smith, Michael J. Curtis, William J. Zeng: A Practical Quantum Instruction Set Architecture (2016) arXiv
  6. Rozada, Ignacio; Coombs, Daniel; Lima, Viviane D.: Conditions for eradicating hepatitis C in people who inject drugs: a fibrosis aware model of hepatitis C virus transmission (2016)
  7. Ruprecht, Daniel; Speck, Robert: Spectral deferred corrections with fast-wave slow-wave splitting (2016)
  8. Sajavičius, Svajūnas: Radial basis function collocation method for an elliptic problem with nonlocal multipoint boundary condition (2016)
  9. Saman Jirjies and Garrick Wallstrom and Rolf Halden and Matthew Scotch: pyJacqQ: Python Implementation of Jacquez’s Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control Studies (2016) not zbMATH
  10. Samuel Hinton: ChainConsumer (2016) not zbMATH
  11. Sebastian Bocquet, Faustin W. Carter: pygtc: beautiful parameter covariance plots (aka. Giant Triangle Confusograms) (2016) not zbMATH
  12. Todd Pataky: rft1d: Smooth One-Dimensional Random Field Upcrossing Probabilities in Python (2016) not zbMATH
  13. Towhidi, Mehdi; Orban, Dominique: Customizing the solution process of COIN-OR’s linear solvers with python (2016)
  14. Wilson, Huon; Keich, Uri: Accurate pairwise convolutions of non-negative vectors via FFT (2016)
  15. Zhe, Sun; Micheletto, Ruggero: Noise influence on spike activation in a Hindmarsh-Rose small-world neural network (2016)
  16. Zimmermann, R.; Willcox, K.: An accelerated greedy missing point estimation procedure (2016)
  17. Anastassiou, George A.; Mezei, Razvan A.: Numerical analysis using Sage (2015)
  18. Andrieux, S.; Baranger, T. N.: Solution of nonlinear Cauchy problem for hyperelastic solids (2015)
  19. Bittihn, Philip: Complex structure and dynamics of the heart (2015)
  20. Craps, B.; Lindgren, E. J.; Taliotis, A.: Holographic thermalization in a top-down confining model (2015)

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