Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in languages such as C++ or Java. The language provides constructs intended to enable clear programs on both a small and large scale. Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library. Python interpreters are available for installation on many operating systems, allowing Python code execution on a wide variety of systems. Using third-party tools, such as Py2exe or Pyinstaller, Python code can be packaged into stand-alone executable programs for some of the most popular operating systems, allowing the distribution of Python-based software for use on those environments without requiring the installation of a Python interpreter. (wikipedia)

References in zbMATH (referenced in 472 articles , 3 standard articles )

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  1. Alexander J. Titus, Shashwat Kishore, Todd Stavish, Stephanie M. Rogers, Karl Ni: PySEAL: A Python wrapper implementation of the SEAL homomorphic encryption library (2018) arXiv
  2. Anisimov, A.V.; Novokshonov, A.K.: Trusted computing with addition machines. II (2018)
  3. Ben-Ari, Mordechai; Mondada, Francesco: Elements of robotics (2018)
  4. Birk, Lothar; McCulloch, T.Luke: Robust generation of constrained B-spline curves based on automatic differentiation and fairness optimization (2018)
  5. Charles Truong, Laurent Oudre, Nicolas Vayatis: ruptures: change point detection in Python (2018) arXiv
  6. David M. Burns, Cari M. Whyne: Seglearn: A Python Package for Learning Sequences and Time Series (2018) arXiv
  7. Diamond, S.; Takapoui, R.; Boyd, S.: A general system for heuristic minimization of convex functions over non-convex sets (2018)
  8. Edwin Tye, Tom Finnie, Ian Hall, Steve Leach: PyGOM - A Python Package for Simplifying Modelling with Systems of Ordinary Differential Equations (2018) arXiv
  9. Fasi, Massimiliano; Higham, Nicholas J.: Multiprecision algorithms for computing the matrix logarithm (2018)
  10. Jason Aebischer, Jacky Kumar, David M. Straub: Wilson: a Python package for the running and matching of Wilson coefficients above and below the electroweak scale (2018) arXiv
  11. Jason Laura; Kelvin Rodriguez; Adam C. Paquette; Evin Dunn: AutoCNet: A Python library for sparse multi-image correspondence identification for planetary data (2018)
  12. Jens-Kristian Krogager: VoigtFit: A Python package for Voigt profile fitting (2018) arXiv
  13. Kinder, Jesse M.; Nelson, Philip: A student’s guide to Python for physical modeling (2018)
  14. Minjie Zhu, Frank McKenna, Michael H. Scott: OpenSeesPy: Python library for the OpenSees finite element framework (2018)
  15. Oliver Laslett, Jonathon Waters, Hans Fangohr, Ondrej Hovorka: Magpy: A C++ accelerated Python package for simulating magnetic nanoparticle stochastic dynamics (2018) arXiv
  16. Osais, Yahya Esmail: Computer simulation. A foundational approach using Python (2018)
  17. Phillip Weinberg, Marin Bukov: QuSpin: a Python Package for Dynamics and Exact Diagonalisation of Quantum Many Body Systems. Part II: bosons, fermions and higher spins (2018) arXiv
  18. Rafael M. O. Cruz, Luiz G. Hafemann, Robert Sabourin, George D. C. Cavalcanti: DESlib: A Dynamic ensemble selection library in Python (2018) arXiv
  19. Rubio-Sánchez, Manuel: Introduction to recursive programming (2018)
  20. Ryan, Nathan C.; Wallace, Dorothy: Applications of calculus to biology and medicine. Case studies from Lake Victoria (2018)

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