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 1697 articles , 4 standard articles )

Showing results 1 to 20 of 1697.
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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. Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo: Automatic dataset builder for Machine Learning applications to satellite imagery (2021) not zbMATH
  5. Alexander Fabisch: gmr: Gaussian Mixture Regression (2021) not zbMATH
  6. Alex M. Ganose; Amy Searle; Anubhav Jain; Sinéad M. Griffin: IFermi: A python library for Fermi surface generation and analysis (2021) not zbMATH
  7. Alex Mikes; Katherine Edmonds; Robert B. Stone; Bryony DuPont: AutoFunc: A Python package for automating and verifying functional modeling (2021) not zbMATH
  8. Ali Haidar, Matthew Field, Jonathan Sykes, Martin Carolan, Lois Holloway: PSPSO: A package for parameters selection using particle swarm optimization (2021) not zbMATH
  9. 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)
  10. Amos Egel, Krzysztof M. Czajkowski, Dominik Theobald, Konstantin Ladutenko, Alexey S. Kuznetsov, Lorenzo Pattelli: SMUTHI: A python package for the simulation of light scattering by multiple particles near or between planar interfaces (2021) arXiv
  11. Anders Markvardsen, Tyrone Rees, Michael Wathen, Andrew Lister, Patrick Odagiu, Atijit Anuchitanukul, Tom Farmer, Anthony Lim, Federico Montesino, Tim Snow, Andrew McCluskey: FitBenchmarking: an open source Python package comparing data fitting software (2021) not zbMATH
  12. Andreas P. Cuny, Fabian Rudolf, Aaron Ponti: pyPOCQuant - A tool to automatically quantify Point-Of-Care Tests from images (2021) not zbMATH
  13. Andrew Lyden, Graeme Flett, Paul G. Tuohy: PyLESA: A Python modelling tool for planning-level Local, integrated, and smart Energy Systems Analysis (2021) not zbMATH
  14. Anirudhan Badrinath, Frederic Wang, Zachary Pardos: pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing Models (2021) arXiv
  15. Antoine de Mathelin, François Deheeger, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis: ADAPT : Awesome Domain Adaptation Python Toolbox (2021) arXiv
  16. Antoine Prouvost, Justin Dumouchelle, Maxime Gasse, Didier Chételat, Andrea Lodi: Ecole: A Library for Learning Inside MILP Solvers (2021) arXiv
  17. Apostolos Spanakis-Misirlis, Cameron L. Van Eck, E.P. Boven: Virgo: A Versatile Spectrometer for Radio Astronomy (2021) not zbMATH
  18. Arash Pakbin, Xiaochen Wang, Bobak J. Mortazavi, Donald K.K. Lee: BoXHED 2.0: Scalable boosting of functional data in survival analysis (2021) arXiv
  19. Arthur A. B. Pessa, Haroldo V. Ribeiro: ordpy: A Python package for data analysis with permutation entropy and ordinal network methods (2021) arXiv
  20. Arun S. Maiya: CausalNLP: A Practical Toolkit for Causal Inference with Text (2021) arXiv

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