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 963 articles , 3 standard articles )

Showing results 1 to 20 of 963.
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  1. Duncan N. Johnstone, Ben H. Martineau, Phillip Crout, Paul A. Midgley, Alexander S. Eggeman: Density-based clustering of crystal orientations and misorientations and the orix python library (2020) arXiv
  2. Emerson Boeira; Diego Eckhard: pyvrft: A Python package for the Virtual Reference Feedback Tuning, a direct data-driven control method (2020) not zbMATH
  3. J. Magnus Rahm; Paul Erhart: WulffPack: A Python package for Wulff constructions (2020) not zbMATH
  4. Joel C. Miller, Tony TIng: EoN (Epidemics on Networks): a fast, flexible Python package for simulation, analytic approximation, and analysis of epidemics on networks (2020) arXiv
  5. Li, Jiao; Ying, Jinyong: A simple and efficient technique to accelerate the computation of a nonlocal dielectric model for electrostatics of biomolecule (2020)
  6. 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
  7. Abali, Bilen Emek; Yang, Hua: Magnetorheological elastomer’s material modeling and parameter determination by using the energy-based method (2019)
  8. Adam J. Batten: Fruitbat: A Python Package for Estimating Redshifts of Fast Radio Bursts (2019) arXiv
  9. Adrien Leger; Tommaso Leonardi: pycoQC, interactive quality control for Oxford NanoporeSequencing (2019) not zbMATH
  10. A. Kapanowski, A. Krawczyk: Halin graphs are 3-vertex-colorable except even wheels (2019) arXiv
  11. Alexander J. Gates; Yong-Yeol Ahn: CluSim: a python package for calculating clustering similarity (2019) not zbMATH
  12. Alex Boyd, Dennis L. Sun: salmon: A Symbolic Linear Regression Package for Python (2019) arXiv
  13. Ali Mostafa Anwar: BCAWT: Automated tool for codon usage bias analysis for molecular evolution (2019) not zbMATH
  14. Amir Arslan Haghrah, Sehraneh Ghaemi: PyIT2FLS: A New Python Toolkit for Interval Type 2 Fuzzy Logic Systems (2019) arXiv
  15. Amir M. Mir; Jalal A. Nasiri: LightTwinSVM: A Simple and Fast Implementation of Standard Twin Support Vector Machine Classifier (2019) not zbMATH
  16. 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
  17. Andreas Nüßing, Maria Carla Piastra, Sophie Schrader, Tuuli Miinalainen, Heinrich Brinck, Carsten H. Wolters, Christian Engwer: duneuro - A software toolbox for forward modeling in neuroscience (2019) arXiv
  18. Andrei V. Novikov: PyClustering: Data Mining Library (2019) not zbMATH
  19. Andrew Abi-Mansour: PyGran: An object-oriented library for DEM simulation and analysis (2019) not zbMATH
  20. Barbara De Palma, Marco Erba, Luca Mantovani, Nicola Mosco: A Python program for the implementation of the GAMMA-method for Monte Carlo simulations (2019) not zbMATH

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