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  1. 1
    12th GAMM-IMACS International Symposium on Scientific Computing, Computer Arithmetic and Validated Numerics SCAN 2006 : conference post-proceedings : September 26-29, 2006, Duisburg, Germany.
    Published 2007
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  2. 2
    Python for scientists / John M. Stewart.
    by Stewart, John, 1943 July 1-
    Published 2014
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  3. 3
    Hands-on introduction to LabVIEW for scientists and engineers / John Essick.
    by Essick, John
    Published 2013
    Edition: 2nd ed.
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  4. 4
    Microcomputer-based labs : educational research and standards / [proceedings of the NATO Advanced Research Workshop on Microcomputer-Based Labs: Educational Research and Standards, held in Amsterdam, The Netherlands, November 9-13, 1992] ; edited by Robert F. Tinker.
    Published 1996
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  5. 5
    Data-driven science and engineering : machine learning, dynamical systems, and control / Steven L. Brunton, J. Nathan Kutz.
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  6. 6
    Learning scientific programming with Python Christian Hill, University College London and Somerville College, University of Oxford.
    by Hill, Christian
    Published 2015
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  7. 7
    Scientific computing with MATLAB and Octave / Alfio Quarteroni, Fausto Saleri, Paola Gervasio.
    by Quarteroni, Alfio
    Published 2014
    Edition: Fourth edition.
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  8. 8
    A guide to Microsoft Excel 2013 for scientists and engineers / Bernard V. Liengme.
    by Liengme, Bernard V.
    Published 2016
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  9. 9
    Getting started with MATLAB : a quick introduction for scientists and engineers / Rudra Pratap.
    by Pratap, Rudra, 1964-
    Published 2017
    Edition: Seventh edition.
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  10. 10
    Python scripting for computational science / Hans Petter Langtangen.
    by Langtangen, Hans Petter, 1962-
    Published 2010
    Edition: Third edition.
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  11. 11
    Hands-on introduction to LabVIEW for scientists and engineers / John Essick.
    by Essick, John
    Published 2019
    Edition: Fourth edition.
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  12. 12
    A primer on scientific programming with Python / Hans Petter Langtangen.
    by Langtangen, Hans Petter, 1962-
    Published 2016
    Edition: 5th edition.
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  13. 13
    Guide to scientific computing in C++ Joe Pitt-Francis, Jonathan Whiteley.
    Edition: Second edition.
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  14. 14
    Data-driven science and engineering machine learning, dynamical systems, and control / Steven L. Brunton, J. Nathan Kutz.
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  15. 15
    Handbook of research on computational science and engineering theory and practice / Joanna Leng and Wes Sharrock, editors.
    Published 2012
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  16. 16
    Integrated information and computing systems for natural, spatial, and social sciences Claus-Peter Rückemann, editor.
    Published 2013
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  17. 17
    Global trends in intelligent computing research and development / B.K. Tripathy and D.P. Acharjya, editors.
    Published 2014
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  18. 18
    Nature-inspired computing : concepts, methodologies, tools, and applications / Information Resources Management Association, editor.
    Published 2017
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  19. 19
    Microcomputers in engineering and science / J. Ffynlo Craine, Graham R. Martin.
    by Craine, J. Ffynlo
    Published 1985
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  20. 20
    BASIC programs for scientists and engineers / Alan R. Miller.
    by Miller, Alan R., 1932-
    Published 1981
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