Tools/Python Tools
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| − | [http://www.python.org/ Python] can be used to achieve results similar to [[Tools/Octave_Matlab|Octave or Matlab]]. | + | [http://www.python.org/ Python] can be used to achieve results similar to [[Tools/Octave_Matlab|Octave or Matlab]], but with the advantages of a fundamentally object-oriented general-purpose language. |
Additionally to numerical computation, packages allow to [http://docs.scipy.org/doc/scipy/reference/tutorial/linalg.html solve linear systems]. | Additionally to numerical computation, packages allow to [http://docs.scipy.org/doc/scipy/reference/tutorial/linalg.html solve linear systems]. | ||
Revision as of 14:29, 2 April 2013
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Python can be used to achieve results similar to Octave or Matlab, but with the advantages of a fundamentally object-oriented general-purpose language. Additionally to numerical computation, packages allow to solve linear systems.
Numerical computation with Python mainly bases on the following libraries:
- NumPy for arrays, linear algebra, ...
- SciPy depends on NumPy, used to manipulate numbers, for signal processing, ...
- matplotlib for 2D plots
The Spyder IDE provides a MATLAB-like development interface. As a simple alternative, IPython provides a web-based GUI and Mathematica-like notebooks.
Installation
Linux
Installation can be done on a package basis, with easy_install or pip.
Install the IDE:
sudo apt-get install spyder
This also installs numPy, sciPy and matplotlib.
Launch Spyder, and in the console type:
t = linspace(0, 10, 100); plot(t, sin(t));
Windows
Download Python(x,y).
This will allow to install Python and other components of your choice.
