# 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 06:20, 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/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()