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You're reading from  Scientific Computing with Python 3

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Published inDec 2016
Reading LevelBeginner
PublisherPackt
ISBN-139781786463517
Edition1st Edition
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Authors (3):
Claus Führer
Claus Führer
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Claus Führer

Claus Führer is a professor of scientific computations at Lund University, Sweden. He has an extensive teaching record that includes intensive programming courses in numerical analysis and engineering mathematics across various levels in many different countries and teaching environments. Claus also develops numerical software in research collaboration with industry and received Lund University's Faculty of Engineering Best Teacher Award in 2016.
Read more about Claus Führer

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Appendix . References

  1. M. Abramowitz and I.A. Stegun, Handbook of Mathematical Functions with Formulas, Graphs, and  Mathematical Tables, U.S. Department of Commerce, 2002. ISBN: 9780486612720.
  2. Anaconda – Continuum Analytics Download page. URL: https://www.continuum.io/downloads.
  3. Michael J. Cloud, Moore Ramon E., and R. Baker Kearfott, Introduction to Interval Analysis, Society for Industrial and Applied Mathematics (SIAM), 2009. ISBN: 0-89871-669-1.
  4. Python Decorator Library. URL: http://wiki.python.org/moin/PythonDecoratorLibrary.
  5. Z. Bai E. Anderson, C. Bischof, S. Blackford, J. Demmel, J. Dongarra, J. Du Croz, A. Greenbaum, S.  Hammarling, A. McKenney, and D. Sorensen, LAPACK Users’ Guide, SIAM, 1999. ISBN: 9780898714470.
  6. fraction – Rational Numbers Library. URL: http://docs.python.org/library/fractions.html.
  7. Claus Führer, Jan Erik Solem, and Olivier Verdier, Computing with Python,  Pearson, 2014. ISBN:  978-0-273-78643-6.
  8. functools – Higher order functions and operations on callable objects. URL: http://docs.python.org/library/functools.html.
  9. Python Generator Tricks. URL: http://linuxgazette.net/100/pramode.html.
  10. G.H. Golub and C.F.V. Loan, Matrix computations,  Johns Hopkins studies in the mathematical sciences. Johns Hopkins University Press, 1996. ISBN: 9780801854149.
  11. Ernst Hairer and Gerhard Wanner, Analysis by its history, Springer, 1995.
  12. Python versus Haskell. URL: http://wiki.python.org/moin/PythonVsHaskell.
  13. The IEEE 754-2008 standard. URL: http://en.wikipedia.org/wiki/IEEE_754-2008.
  14. Interval arithmetic. URL: http://en.wikipedia.org/wiki/Interval_arithmetic.
  15. IPython: Interactive Computing. URL: http://ipython.org/.
  16. H.P. Langtangen, Python scripting for computational science (Texts in computational science and engineering),  Springer, 2008. ISBN:9783540739159.
  17. H.P. Langtangen, A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering), Springer, 2009. ISBN: 9783642024740.
  18. D. F. Lawden, Elliptic Functions and Applications, Springer, 1989. ISBN: 9781441930903.
  19. M. Lutz,  Learning Python: Powerful Object-Oriented Programming, O’Reilly, 2009. ISBN: 9780596158064.
  20. NumPy Tutorial – Mandelbrot Set Example. URL:http://www.scipy.org/Tentative_NumPy_Tutorial/Mandelbrot_Set_Example.
  21. matplotlib. URL: http://matplotlib.sourceforge.net.
  22. Standard: Memoized recursive Fibonacci in Python. URL: http://ujihisa.blogspot.se/2010/11/memoized-recursive-fibonacciin-python.html.
  23. Matplotlib mplot3d toolkit. URL: http://matplotlib.sourceforge.net/mpl_toolkits/mplot3d.
  24. James M. Ortega and Werner C. Rheinboldt, Iterative solution of nonlinear equations in several variables, SIAM, 2000. ISBN: 9780898714616.
  25. pdb – The Python Debugger, documentation: http://docs.python.org/library/pdb.html.
  26. Fernando Pérez and Brian E. Granger. IPython: a System for Interactive Scientific Computing.” In: Comput. Sci. Eng. 9.3 (May 2007), pp. 21–29. URL: http://ipython.org.
  27. Michael J.D. Powell. “An efficient method for finding the minimum of a function of several variables  without calculating derivatives.” In: Computer Journal 7 (2 1964), pp. 155–162. doi: doi:10.1093/comjnl/7.2.155.
  28. Timothy Sauer, Numerical Analysis, Pearson, 2006.
  29. L.F. Shampine, R.C. Allen, and S. Pruess, Fundamentals of Numerical Computing, John Wiley, 1997. ISBN: 9780471163633.
  30. Jan Erik Solem, Programming Computer Vision with Python, O’Reilly Media, 2012. URL: http://programmingcomputervision.com.
  31. Python Documentation – Emulating numeric types. URL: http://docs.python.org/reference/datamodel.html#emulating-numeric-types.
  32. Sphinx: Python Documentation Generator. URL: http://sphinx.pocoo.org/.
  33. J. Stoer and R. Bulirsch, Introduction to numerical analysis. Texts in applied mathematics, Springer, 2002. ISBN: 9780387954523.
  34. Python Format String Syntax. URL: http://docs.python.org/library/string.html#format-string-syntax.
  35. S. Tosi,  Matplotlib for Python Developers, Packt Publishing, 2009. ISBN: 9781847197900.
  36.  Lloyd N. Trefethen and David Bau, Numerical Linear Algebra, SIAM: Society for Industrial and Applied Mathematics, 1997. ISBN: 0898713617.
  37. visvis – The object oriented approach to visualization. URL: http://code.google.com/p/visvis/.
  38. The full list of built-in exceptions can be found at http://docs.python.org/library/exceptions.html
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Authors (3)

author image
Claus Führer

Claus Führer is a professor of scientific computations at Lund University, Sweden. He has an extensive teaching record that includes intensive programming courses in numerical analysis and engineering mathematics across various levels in many different countries and teaching environments. Claus also develops numerical software in research collaboration with industry and received Lund University's Faculty of Engineering Best Teacher Award in 2016.
Read more about Claus Führer