success 57434 pymaclab 2008-12-17T11:49:33Z 2008-12-17T11:49:34Z News14 March, 2008 - Made initial commit of pymaclab to svn repository PyMacLabpymaclab is a library written in python which implements a series of classes useful for conducting research in dynamic macroeconomics. The main class providing most of the library's functionality is the DSGE model class. One of the main aims of the project is to create a new DSGE model class (or abstract data type) containing useful features such as: Steady State Solution and Analysis First-order accurate solutions of the policy function Second-order accurate solutions of the policy function Simulations methods Impulse Response methods Model Evaluation methods Other than that, the library also implements a simple VAR (Vector Autoregression) Class, as well as a Time Series Database Class. pymaclab depends, or makes use of a number of python packages (or libraries) such as: DependenciesIPython - The Interactive Python Shell Numpy - For matrix and array calculations, Fortran integration, etc. Scipy - For general scientific routines, like root finding, optimization, etc. SympyCore - For fast symbolic differentiation matplotlib/pylab - For plotting graphs mlabwrap - For calling Matlab from Python TimeSeries - The Python TimeSeries Class Python wxwidgets - For more advanced gui stuff Usage# Model Instantiation with data rbc1 = newMOD('rbc1.txt',db1) # Model instantiation without data rbc2 = newMOD('rbc2.txt') # Solve the models using different methods rbc1.modsolvers.forkleind.solve() rbc2.modsolvers.pyklein2d.solve() # Simulate the models after they have been solved rbc1.modsolvers.forkleind.sim(400) rbc2.modsolvers.pyklein2d.sim(1000) http://code.google.com/p/pymaclab pymaclab 0 0 bsd BSD Copyright