Python

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 212 articles , 3 standard articles )

Showing results 1 to 20 of 212.
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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. Brzeziński, Dariusz W.; Ostalczyk, Piotr: Numerical calculations accuracy comparison of the inverse Laplace transform algorithms for solutions of fractional order differential equations (2016)
  4. Caprara, Alberto; Carvalho, Margarida; Lodi, Andrea; Woeginger, Gerhard J.: Bilevel knapsack with interdiction constraints (2016)
  5. Cooper, Christopher D.; Barba, Lorena A.: Poisson-Boltzmann model for protein-surface electrostatic interactions and grid-convergence study using the PyGBe code (2016)
  6. Diamond, Steven; Boyd, Stephen: CVXPY: a python-embedded modeling language for convex optimization (2016)
  7. Eppstein, David: Simple recognition of Halin graphs and their generalizations (2016)
  8. Garrido, José M.: Introduction to computational models with Python (2016)
  9. Gąsiorek, Marcin; Simson, Daniel; Zając, Katarzyna: A Gram classification of non-negative corank-two loop-free edge-bipartite graphs (2016)
  10. Kimbrough, Steven Orla; Lau, Hoong Chuin: Business analytics for decision making (2016)
  11. Luukko, P.J.J.; Helske, J.; Räsänen, E.: Introducing libeemd: a program package for performing the ensemble empirical mode decomposition (2016)
  12. Maher, Stephen; Miltenberger, Matthias; Pedroso, João Pedro; Rehfeldt, Daniel; Schwarz, Robert; Serrano, Felipe: PySCIPOpt: mathematical programming in python with the SCIP optimization suite (2016)
  13. McAndrew, Alasdair: A computational introduction to digital image processing (2016)
  14. Milk, René; Rave, Stephan; Schindler, Felix: PyMOR -- generic algorithms and interfaces for model order reduction (2016)
  15. Wellin, Paul: Essentials of programming in Mathematica (2016)
  16. Bard, Gregory V.: Sage for undergraduates (2015)
  17. Beu, Titus Adrian: Introduction to numerical programming. A practical guide for scientists and engineers using Python and C/C++ (2015)
  18. Bittihn, Philip: Complex structure and dynamics of the heart (2015)
  19. Bitvai, Zsolt; Cohn, Trevor: Day trading profit maximization with multi-task learning and technical analysis (2015)
  20. Budhathoki, Parshuram; Steinwandt, Rainer: Automatic synthesis of quantum circuits for point addition on ordinary binary elliptic curves (2015)

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