Scientific Computing: Time Series Analysis with Python - wiki Turbulent Time Series
Introduction We make available some tools for statistical analysis of time series written in Python using the numpy and matplotlib libraries for scientific computing. Consider $X$ to be a time series of $n$ data points. For Simplicity we assume $n$ to be a power of 2 in order to apply Fast Fourier Transform algorithm. Signals White Noise: whitenoise(n) $\xi(t)$ is a i.i.d with uncorrelated Gaussia
scikits.timeseries: python time series analysis — TimeSeries v0.91.3 Reference Guide
Download Current version: 0.91.3 Download scikits.timeseries from the sourceforge project page (but first take a look at the installion page). For details on what's new, see the detailed version history. Support Requests for help should be directed to the scipy-user mailing list. You can file bugs, patches and feature requests on the scikits bug tracker, but it is a good idea to also drop us a not
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PyWavelets and pywfdb library for biomedical time series analysis | Forrest Sheng Bao
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span - Spectral Analysis
http://cmm.info.nih.gov/maxent/letsgo.html
MemExp
Free time series data analysis software
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