Downloading and Installation¶
- LabVIEW 2015 or later (32- or 64-bit)
- Windows 7 or later (32- or 64-bit)
- Either Python 2.7, or Python 3.5 or later (32- or 64-bit for both)
- The "NumPy" numerical array package (this is typically distributed with Python)
We recommend installing the "Standard" Edition, which can be used with any version of LabVIEW, and provides a fully-featured 30-day trial after installation. The 30-day trial also includes advanced features of Enthought Canopy, including a debugger and data import tool.
The Home Edition of the toolkit is for use with LabVIEW Student Edition, or (rarely available) versions of LabVIEW Home based on LabVIEW 2015 or later.
Where to download¶
The Python Integration Toolkit is available through the LabVIEW Tools Network. To install, launch the VI Package Manager (VIPM) that ships with LabVIEW and double-click the entry for the Python Integration Toolkit Standard Edition.
Setting up Python¶
The Toolkit is designed to work with an installation of Python which lives outside of LabVIEW. That way, you can take advantage of all the tools and packages from the Python universe, instead of a restricted set that only works with LabVIEW.
As part of the installation process, you will be prompted to select a default Python install to use with LabVIEW. You can always change this selection later by going to the LabVIEW Tools Menu and selecting "Python Integration Toolkit".
Using Enthought Canopy¶
Every Toolkit download includes a copy of Enthought Canopy, a full Python analysis environment including an editor and package manager. Canopy is free and can be used to install hundreds of third-party Python packages for scientific and engineering analysis, machine learning, image processing, and more.
The 30-day trial of the full Toolkit also includes advanced features of Canopy including a built-in debugger and data import tool. Purchase of the Standard Edition of the Toolkit includes a one-year subscription to these Canopy features.
To use Canopy, select "Download and install Enthought Canopy" and click Continue. The installation process will take a few minutes.
Using Python 3¶
You can use the Toolkit (1.2 or higher) with Python 2 or Python 3. See Python 2 or Python 3? for more information.
Using another Python distribution¶
The Toolkit is compatible with nearly all Windows distributions of Python. To use a particular installation of Python, please verify that:
- Your installation includes a compatible version of Python
- Your installation includes the NumPy array package
Then, select "Locate an exiting Python installation" and browse for