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 1486 articles , 3 standard articles )

Showing results 1 to 20 of 1486.
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  1. A. Buckley, J. M. Butterworth, L. Corpe, M. Habedank, D. Huang, D. Yallup, M. Altakach, G. Bassman, I. Lagwankar, J. Rocamonde, H. Saunders, B. Waugh, G. Zilgalvis: Testing new-physics models with global comparisons to collider measurements: the Contur toolkit (2021) arXiv
  2. Adam Richie-Halford, Manjari Narayan, Noah Simon, Jason Yeatman, Ariel Rokem: Groupyr: Sparse Group Lasso in Python (2021) not zbMATH
  3. Adam R. Symington: polypy - Analysis Tools for Solid State Molecular Dynamics and Monte Carlo Trajectories (2021) not zbMATH
  4. Alex M. Ganose; Amy Searle; Anubhav Jain; Sinéad M. Griffin: IFermi: A python library for Fermi surface generation and analysis (2021) not zbMATH
  5. Alex Mikes; Katherine Edmonds; Robert B. Stone; Bryony DuPont: AutoFunc: A Python package for automating and verifying functional modeling (2021) not zbMATH
  6. Allen, Jeffery M.; Chang, Justin; Usseglio-Viretta, Francois L. E.; Graf, Peter; Smith, Kandler: A segregated approach for modeling the electrochemistry in the 3-D microstructure of li-ion batteries and its acceleration using block preconditioners (2021)
  7. Arthur A. B. Pessa, Haroldo V. Ribeiro: ordpy: A Python package for data analysis with permutation entropy and ordinal network methods (2021) arXiv
  8. Austen Bernardi, Jessica M.J. Swanson: CycFlowDec: A Python module for decomposing flow networks using simple cycles (2021) not zbMATH
  9. Barrett, Jeff M.; Callaghan, Jack P.: A one-dimensional collagen-based biomechanical model of passive soft tissue with viscoelasticity and failure (2021)
  10. Benjamin F. Maier: epipack: An infectious disease modeling package for Python (2021) not zbMATH
  11. Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef: ast2vec: Utilizing Recursive Neural Encodings of Python Programs (2021) arXiv
  12. Binbin Zhang, Di Wu, Chao Yang, Xiaoyu Chen, Zhendong Peng, Xiangming Wang, Zhuoyuan Yao, Xiong Wang, Fan Yu, Lei Xie, Xin Lei: WeNet: Production First and Production Ready End-to-End Speech Recognition Toolkit (2021) arXiv
  13. Biswajit Mondal, Santosh V. Vadawale, N.P.S. Mithun, C.S. Vaishnava, Neeraj K. Tiwari, S.K. Goyal, Singam S. Panini, Vinita Navalkar, Chiranjit Karmakar, Mansukhlal R. Patel, R.B. Upadhyay: DarpanX: A Python Package for Modeling X-ray Reflectivity of Multilayer Mirrors (2021) arXiv
  14. Brinnae Bent, Maria Henriquez, Jessilyn Dunn: cgmquantify: Python and R packages for comprehensive analysis of interstitial glucose and glycemic variability from continuous glucose monitor data (2021) arXiv
  15. Bueler, Ed: PETSc for partial differential equations. Numerical solutions in C and Python (2021)
  16. Caio Felippe Curitiba Marcellos, Gerson Francisco da Silva Junior, Elvis do Amaral Soares, Fabio Ramos, Amaro G. Barreto Jr: PyEquIon: A Python Package For Automatic Speciation Calculations of Aqueous Electrolyte Solutions (2021) arXiv
  17. Christophe Besse, Romain Duboscq, Stefan Le Coz: Numerical Simulations on Nonlinear Quantum Graphs with the GraFiDi Library (2021) arXiv
  18. D.C.L. Handler, P.A. Haynes: PeptideMind - Applying machine learning algorithms to assess replicate quality in shotgun proteomic data (2021) not zbMATH
  19. Edgar Fajardo, Frank Wuerthwein, Brian Bockelman, Miron Livny, Greg Thain, James Alexander Clark, Peter Couvares, Josh Willis: Adapting LIGO workflows to run in the Open Science Grid (2021) not zbMATH
  20. Eriksson, Jens; Styrström, Daniel; Sellin, Mikael E.: Cellocity: A Python package for analysis of confluent cell layer dynamics (2021) not zbMATH

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