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 1849 articles , 4 standard articles )

Showing results 1 to 20 of 1849.
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  1. Bilokon, Paul Alexander: Python, data science and machine learning. From scratch to productivity (to appear) (2022)
  2. Abheesht Sharma, Gunjan Chhablani, Harshit Pandey, Rajaswa Patil: DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature (2021) arXiv
  3. 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
  4. Adam Amara, Lucia F. de la Bella, Simon Birrer, Sarah Bridle, Juan Pablo Cordero, Ginevra Favole, Ian Harrison, Ian W.Harry, William G. Hartley, Coleman Krawczyk, Andrew Lundgren, Brian Nord, Laura K. Nuttall, Richard P. Rollins, Philipp Sudek, Sut-Ieng Tam, Nicolas Tessore, Arthur E. Tolley, Keiichi Umetsu, Andrew R. Williamson, Laura Wolz: SkyPy: A package for modelling the Universe (2021) arXiv
  5. Adam Richie-Halford, Manjari Narayan, Noah Simon, Jason Yeatman, Ariel Rokem: Groupyr: Sparse Group Lasso in Python (2021) not zbMATH
  6. Adam R. Symington: polypy - Analysis Tools for Solid State Molecular Dynamics and Monte Carlo Trajectories (2021) not zbMATH
  7. Adiv Paradise, Evelyn Macdonald, Kristen Menou, Christopher Lee, Bo Lin Fan: ExoPlaSim: Extending the Planet Simulator for Exoplanets (2021) arXiv
  8. Aebel Joe Shibu, Sadhana S, Shilpa N, Pratyush Kumar: VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning (2021) arXiv
  9. Albert Weichselbraun: Inscriptis - A Python-based HTML to text conversion library optimized for knowledge extraction from the Web (2021) arXiv
  10. Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo: Automatic dataset builder for Machine Learning applications to satellite imagery (2021) not zbMATH
  11. Alexander Fabisch: gmr: Gaussian Mixture Regression (2021) not zbMATH
  12. Alex M. Ganose; Amy Searle; Anubhav Jain; Sinéad M. Griffin: IFermi: A python library for Fermi surface generation and analysis (2021) not zbMATH
  13. Alex Mikes; Katherine Edmonds; Robert B. Stone; Bryony DuPont: AutoFunc: A Python package for automating and verifying functional modeling (2021) not zbMATH
  14. Alfredo Mejia-Narvaez, Gustavo Bruzual, Sebastian F. Sanchez, Leticia Carigi, Jorge Barrera-Ballesteros, Mabel Valerdi, Renbin Yan, Niv Drory: CoSHA: Code for Stellar properties Heuristic Assignment - for the MaStar stellar library (2021) arXiv
  15. Ali Haidar, Matthew Field, Jonathan Sykes, Martin Carolan, Lois Holloway: PSPSO: A package for parameters selection using particle swarm optimization (2021) not zbMATH
  16. 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)
  17. Amanda D. Smith, Benjamin Stürmer, Travis Thurber, Chris R. Vernon: diyepw: A Python package for Do-It-Yourself EnergyPlus weather file generation (2021) not zbMATH
  18. 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
  19. 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
  20. Andreas P. Cuny, Fabian Rudolf, Aaron Ponti: pyPOCQuant - A tool to automatically quantify Point-Of-Care Tests from images (2021) not zbMATH

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