PyQt

PyQt is a Python wrapper around the cross-platform Qt application framework. This post describes how to install PyQt with Vizard. It also includes a sample script showing how to embed the Vizard graphics window inside a PyQt application.
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Using Excel Files in Vizard

With the xlrd and xlwt Python Addon libraries you can easily read and write directly to Excel files (.xls) from Vizard. For complete documentation and examples on using these libraries go to http://www.python-excel.org/.
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Voice recognition

This article describes how to perform voice recognition in Python using the 3rd party pywin32 library along with the Microsoft Speech SDK.
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NetBeans IDE + Vizard

NetBeans IDE is a free cross-platform IDE that supports many programming languages, including Python. This article describes how to configure NetBeans IDE to run Vizard scripts.
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Wing IDE + Vizard

Wing IDE is a commercial cross-platform Python IDE. This article describes how to configure Wing IDE to run Vizard scripts.
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Komodo IDE + Vizard

Komodo is a cross-platform IDE that supports Python. It comes in a free and commercial version. This article describes how to configure Komodo to run Vizard scripts.
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Eclipse IDE + Vizard

Eclipse is a free open-source IDE that supports many programming languages. The Pydev addon for Eclipse enables Python support within the IDE. This article describes how to configure Eclipse to run Vizard scripts.
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pywin32

The pywin32 package provides access to various Windows APIs within Python. These APIs can be used to create UI objects (windows, dialogs, etc..), interface to native or 3rd party libraries using COM, access low-level OS functionality, and much more.

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pySerial

The pySerial module is a Python add-on that provides access to the serial port.

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matplotlib

Matplotlib is a library with a very 'Matlab' like environment for generating publication quality figures. You can output to raster formats (e.g., PNG, TIFF, JPG) immediately in a pop-up window or to vector (e.g, EPS, PS) formats that are saved as files. The style of graphs and syntax for creating them, especially when combined with the added Python language constructs through NumPy will be very familiar to users of Matlab.
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