User:Jarle Pahr/NumPy

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64-bit installers: http://www.lfd.uci.edu/~gohlke/pythonlibs/
64-bit installers: http://www.lfd.uci.edu/~gohlke/pythonlibs/
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http://www.engr.ucsb.edu/~shell/che210d/numpy.pdf
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http://physics.nmt.edu/~raymond/software/python_notes/paper003.html
=Matrices and arrays=
=Matrices and arrays=

Revision as of 05:20, 23 August 2013

http://wiki.scipy.org/NumPy_for_Matlab_Users


https://pypi.python.org/pypi/numpy

http://wiki.scipy.org/Tentative_NumPy_Tutorial

64-bit installers: http://www.lfd.uci.edu/~gohlke/pythonlibs/


http://www.engr.ucsb.edu/~shell/che210d/numpy.pdf

http://physics.nmt.edu/~raymond/software/python_notes/paper003.html

Matrices and arrays

http://stackoverflow.com/questions/12024820/danger-of-mixing-numpy-matrix-and-array

http://stackoverflow.com/questions/4151128/what-are-the-differences-between-numpy-arrays-and-matrices-which-one-should-i-u

http://stackoverflow.com/questions/3337301/numpy-matrix-to-array


Matrices:

  • Strictly 2-dimensional
  • Use of * results in matrix multiplication
  • Element-wise multiplication achieved with multiply()


Arrays:

  • Use of * results in element-wise multiplication
  • Matrix multiplication achieved with dot()
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