IPython']Python:: A system for interactive scientific computing

被引:2834
|
作者
Perez, Fernando [1 ]
Granger, Brian E. [1 ]
机构
[1] Univ Colorado, Dept Appl Math, Boulder, CO 80309 USA
关键词
C (programming language) - Data visualization - FORTRAN (programming language) - Interactive computer systems - Object oriented programming - Parallel processing systems;
D O I
10.1109/MCSE.2007.53
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Python offers basic facilities for interactive work and a comprehensive library on top of which more sophisticated systems can be built. The IPython project provides an enhanced interactive environment that includes, among other features, support for data visualization and facilities for distributed and parallel computation.
引用
收藏
页码:21 / 29
页数:9
相关论文
共 50 条
  • [31] Redesigning Interactive Educational Modules for Combinatorial Scientific Computing
    Rostami, M. Ali
    Bucker, H. Martin
    COMPUTATIONAL SCIENCE - ICCS 2019, PT V, 2019, 11540 : 363 - 373
  • [32] Scalable Scientific Interactive Research Computing With Project Scinco
    Stubbs, Joe
    Jamthe, Anagha
    Freeman, Nathan
    Packard, Mike
    Curbelo, Gilbert
    Hammock, Cody
    COMPUTING IN SCIENCE & ENGINEERING, 2023, 25 (01) : 43 - 50
  • [33] IBM research in interactive data mining and scientific computing
    Edward R. Kral
    Behavior Research Methods, Instruments, & Computers, 1997, 29 : 119 - 121
  • [34] IBM research in interactive data mining and scientific computing
    Kral, ER
    BEHAVIOR RESEARCH METHODS INSTRUMENTS & COMPUTERS, 1997, 29 (01): : 119 - 121
  • [35] Interactive Python']Python Programs for Crystallography
    Julian, M.
    Julian, F.
    Jones, H.
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2020, 76 : A66 - A66
  • [36] Using Python']Python for scientific computing: Efficient and flexible evaluation of the statistical characteristics of functions with multivariate random inputs
    Chudoba, R.
    Sadilek, V.
    Rypl, R.
    Vorechovsky, M.
    COMPUTER PHYSICS COMMUNICATIONS, 2013, 184 (02) : 414 - 427
  • [37] A functional start to computing with Python']Python
    Clare, Amanda
    JOURNAL OF FUNCTIONAL PROGRAMMING, 2015, 25
  • [38] Transient kinetic analysis of multipath reactions: An educational module using the IPython']Python software package
    Golman, Boris
    EDUCATION FOR CHEMICAL ENGINEERS, 2016, 15 (15): : 1 - 18
  • [39] SymPy: symbolic computing in Python']Python
    Meurer, Aaron
    Smith, Christopher P.
    Paprocki, Mateusz
    Certik, Ondrej
    Kirpichev, Sergey B.
    Rocklin, Matthew
    Kumar, AMiT
    Ivanov, Sergiu
    Moore, Jason K.
    Singh, Sartaj
    Rathnayake, Thilina
    Vig, Sean
    Granger, Brian E.
    Muller, Richard P.
    Bonazzi, Francesco
    Gupta, Harsh
    Vats, Shivam
    Johansson, Fredrik
    Pedregosa, Fabian
    Curry, Matthew J.
    Terrel, Andy R.
    Roucka, Stepan
    Saboo, Ashutosh
    Fernando, Isuru
    Kulal, Sumith
    Cimrman, Robert
    Scopatz, Anthony
    PEERJ COMPUTER SCIENCE, 2017,
  • [40] INVESTIGATION INTO SCHEDULING FOR AN INTERACTIVE COMPUTING SYSTEM
    ANDERSON, HA
    SARGENT, RG
    IBM JOURNAL OF RESEARCH AND DEVELOPMENT, 1974, 18 (02) : 125 - 137