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Enthought: Webinar: Introducing the NEW Python Integration Toolkit for LabVIEW

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Python Integration Toolkit for LabVIEW from Enthought - Webinar
Dates: Thursday, August 25, 2016, 1:00-1:45 PM CT or Wednesday, August 31, 2016, 9:00-9:45 AM CT / 3:00-3:45 PM BT

Register now (if you can’t attend, we’ll send you a recording)

LabVIEW is a software platform made by National Instruments, used widely in industries such as semiconductors, telecommunications, aerospace, manufacturing, electronics, and automotive for test and measurement applications. Earlier this month, Enthought released the Python Integration Toolkit for LabVIEW, which is a “bridge” between the LabVIEW and Python environments.

In this webinar, we’ll demonstrate:

  1. How the new Python Integration Toolkit for LabVIEW from Enthought seamlessly brings the power of the Python ecosystem of scientific and engineering tools to LabVIEW
  2. Examples of how you can extend LabVIEW with Python, including using Python for signal and image processing, cloud computing, web dashboards, machine learning, and more
Python Integration Toolkit for LabVIEW

Quickly and efficiently access scientific and engineering tools for signal processing, machine learning, image and array processing, web and cloud connectivity, and much more. With only minimal coding on the Python side, this extraordinarily simple interface provides access to all of Python’s capabilities.

Try it with your data, free for 30 days

Download a free 30 day trial of the Python Integration Toolkit for LabVIEW from the National Instruments LabVIEW Tools Network.

How LabVIEW users can benefit from Python :

  • High-level, general purpose programming language ideally suited to the needs of engineers, scientists, and analysts
  • Huge, international user base representing industries such as aerospace, automotive, manufacturing, military and defense, research and development, biotechnology, geoscience, electronics, and many more
  • Tens of thousands of available packages, ranging from advanced 3D visualization frameworks to nonlinear equation solvers
  • Simple, beginner-friendly syntax and fast learning curve

Register


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