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Tokenize is a Julia package that serves a similar purpose and API as the tokenize module in Python but for Julia. This is to take a string or buffer containing Julia code, perform lexical analysis and return a stream of tokens.
Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.
Olex2 is visualisation software for small-molecule crystallography developed at Durham University/EPSRC. It provides comprehensive tools for crystallographic model manipulation for the end user and an extensible development framework for programmers. The project has been supported by Olexsys Ltd since 2010.
This is a pythonmodule providing a nearly complete interface to the graphing program xmgrace and the new qtgrace (great project... grace works under windows, too, now!). It allows creation of grace plots from within python, which can be customized using python, or through grace after creation.
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Web interface for visualizing CSV data from CollectD monitoring system
CollectD-CSV Plotter is a web interface for fetching and visualizing data that is saved in CollectD CSV format. An HTML form is used for defining the time interval and choosing the wanted measurements. The plotter is actually a front-end for collectd-csv module (http://pypi.python.org/pypi/collectd-csv/), which it uses for fetching the data.
Technologies CollectD-CSV Plotter uses include CGI/Python, HTML5/JavaScript, jQuery, jQuery-UI and Gnuplot.
...It works with FORMATTED and UNFORMATTED fortran datafiles.
When you call the main subroutine in this module which is called FORTPLOT, it creates a python coded file that you can execute it at any time to get the plots and take a decision about continue the run or halt it. So, with multiple nodes machine you can assign a node for running the python coded file created by the Fortran code to get you data plotted.
This object-oriented pythonmodule converts 3D VRML models into Collada and integrates it in Google Earth (GE) through the Keyhole Markup Language (KML). It enables the visualisation of large scale aerial/satellite images in the Geo Browser.
We are trying to create a very complete physics teaching program. So, we would be pleased if you could suggest any improvement or create any module for us.
To use any of these sources you need python 2.2, pygame and scipy.
Embeds a python interpreter in the OpenDX (http://www.opendx.org/) visualization system. This allows the user to quickly write their own custom modules using a Python program.