Difference between revisions of "Python"
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== Python == | == Python == | ||
| + | Python is a popular scripting language. It is on the top 10 of the [http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html TIOBE index], and is often used in scientific programming outside of the major commercial platforms like Matlab or Mathematica. | ||
| − | Check out the [http://www.python.org Python website] | + | * Check out the [http://www.python.org Python website] for more information |
| + | |||
| + | === Installation === | ||
| + | |||
| + | * Windows: [ftp://ftp.ee.up.ac.za/pub/windows/maths/Python(x,y)-2.7.2.2.exe Python(x,y)] supplies a full scientific programming environment. | ||
| + | * Linux: Install python along with Matplotlib and Numpy/Scipy | ||
| + | * Mac: Use the [Enthought Python Distribution] | ||
| + | |||
| + | === Scientific computing === | ||
| + | |||
| + | Numeric calculations are done using the [http://numpy.scipy.org/ NumPy] or [http://www.scipy.org/ SciPy] modules. [http://www.scipy.org/NumPy_for_Matlab_Users Here] | ||
| + | is a handy starting point for someone used to Matlab/Octave to get into | ||
| + | NumpPy/Scipy. | ||
| + | |||
| + | Plotting is done using the [http://matplotlib.sourceforge.net/ matplotlib] library. The website contains | ||
| + | documentation as well as a large gallery of examples. | ||
| + | |||
| + | The SciPy website also has a lot of examples in their [http://www.scipy.org/Cookbook Cookbook]. Topical ones include | ||
| + | |||
| + | * [http://www.scipy.org/Cookbook/Intersection Solving nonlinear equations] | ||
| + | * [http://www.scipy.org/Cookbook/OptimizationDemo1 Optimisation] | ||
| + | * [http://www.scipy.org/Cookbook/FittingData Fitting data] | ||
| + | * [http://www.scipy.org/Cookbook/LoktaVolterraTutorial Numerical integration of ODEs] | ||
Revision as of 15:59, 26 June 2012
Python
Python is a popular scripting language. It is on the top 10 of the TIOBE index, and is often used in scientific programming outside of the major commercial platforms like Matlab or Mathematica.
- Check out the Python website for more information
Installation
- Windows: Python(x,y) supplies a full scientific programming environment.
- Linux: Install python along with Matplotlib and Numpy/Scipy
- Mac: Use the [Enthought Python Distribution]
Scientific computing
Numeric calculations are done using the NumPy or SciPy modules. Here is a handy starting point for someone used to Matlab/Octave to get into NumpPy/Scipy.
Plotting is done using the matplotlib library. The website contains documentation as well as a large gallery of examples.
The SciPy website also has a lot of examples in their Cookbook. Topical ones include
