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 203 articles , 3 standard articles )

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  1. Herman, Russell L.: An introduction to Fourier analysis (2017)
  2. Andersen, Jakob L.; Flamm, Christoph; Merkle, Daniel; Stadler, Peter F.: A software package for chemically inspired graph transformation (2016)
  3. Caprara, Alberto; Carvalho, Margarida; Lodi, Andrea; Woeginger, Gerhard J.: Bilevel knapsack with interdiction constraints (2016)
  4. Diamond, Steven; Boyd, Stephen: CVXPY: a python-embedded modeling language for convex optimization (2016)
  5. Eppstein, David: Simple recognition of Halin graphs and their generalizations (2016)
  6. Garrido, José M.: Introduction to computational models with Python (2016)
  7. Gąsiorek, Marcin; Simson, Daniel; Zając, Katarzyna: A Gram classification of non-negative corank-two loop-free edge-bipartite graphs (2016)
  8. Kimbrough, Steven Orla; Lau, Hoong Chuin: Business analytics for decision making (2016)
  9. Luukko, P.J.J.; Helske, J.; Räsänen, E.: Introducing libeemd: a program package for performing the ensemble empirical mode decomposition (2016)
  10. McAndrew, Alasdair: A computational introduction to digital image processing (2016)
  11. Wellin, Paul: Essentials of programming in Mathematica (2016)
  12. Bard, Gregory V.: Sage for undergraduates (2015)
  13. Beu, Titus Adrian: Introduction to numerical programming. A practical guide for scientists and engineers using Python and C/C++ (2015)
  14. Bittihn, Philip: Complex structure and dynamics of the heart (2015)
  15. Bitvai, Zsolt; Cohn, Trevor: Day trading profit maximization with multi-task learning and technical analysis (2015)
  16. Budhathoki, Parshuram; Steinwandt, Rainer: Automatic synthesis of quantum circuits for point addition on ordinary binary elliptic curves (2015)
  17. Burkowski, Forbes J.: Computational and visualization techniques for structural bioinformatics using Chimera (2015)
  18. Burmen, Árpád; Olenšek, Jernej; Tuma, Tadej: Mesh adaptive direct search with second directional derivative-based Hessian update (2015)
  19. Coudière, Yves; Henry, Jacques; Labarthe, Simon: A two layers monodomain model of cardiac electrophysiology of the atria (2015)
  20. Danos, Vincent; Harmer, Russell; Honorato-Zimmer, Ricardo: Thermodynamic graph-rewriting (2015)

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