Tag Archives: National Instruments

Enthought at National Instruments’ NIWeek 2017: An Inside Look

This week I had the distinct privilege of representing Enthought at National Instruments‘ 23rd annual user conference, NIWeek 2017. National Instruments is a leader in test, measurement, and control solutions, and we share many common customers among our global scientific and engineering user base.

NIWeek kicked off on Monday with Alliance Day, where my colleague Andrew Collette and I went on stage to receive the LabVIEW Tools Network 2017 Product of the Year Award for Enthought’s Python Integration Toolkit, which provides a bridge between Python and LabVIEW, allowing you to create VI’s (virtual instruments) that make Python function and object method calls. Since its release last year, the Python Integration Toolkit has opened up access to a broad range of new capabilities for LabVIEW users,  by combining the best of Python with the best of LabVIEW. It was also inspiring to hear about the advances being made by other National Instruments partners. Congratulations to the award winners in other categories (Wineman Technology, Bloomy, and Moore Good Ideas)!

On Wednesday, Andrew gave a presentation titled “Building and Deploying Python-Powered LabVIEW Applications” to a standing-room only crowd.  He gave some background on the relative strengths of Python and LabVIEW (some of which is covered in our March 2017 webinar “Using Python and LabVIEW to Rapidly Solve Engineering Problems“) and then showcased some of the capabilities provided by the toolkit, such as plotting data acquisition results live to a web server using plotly, which is always a crowd-pleaser (you can learn more about that in the blog post “Using Plotly from LabVIEW via Python”).  Other demos included making use of the Python scikit-learn library for machine learning, (you can see Enthought’s CEO Eric Jones run that demo here, during the 2016 NIWeek keynotes.)

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Enthought Receives 2017 Product of the Year Award From National Instruments LabVIEW Tools Network

Python Integration Toolkit for LabVIEW recognized for extending LabVIEW connectivity and bringing the power of Python to applications in Test, Measurement and the Industrial Internet of Things (IIoT)

AUSTIN, TX – May 24, 2017 Enthought, a global leader in scientific and analytic computing solutions, was honored this week by National Instruments with the LabVIEW Tools Network Platform Connectivity 2017 Product of the Year Award for its Python Integration Toolkit for LabVIEW.

Python Integration Toolkit for LabVIEWFirst released at NIWeek 2016, the Python Integration Toolkit enables fast, two-way communication between LabVIEW and Python. With seamless access to the Python ecosystem of tools, LabVIEW users are able to do more with their data than ever before. For example, using the Toolkit, a user can acquire data from test and measurement tools with LabVIEW, perform signal processing or apply machine learning algorithms in Python, display it in LabVIEW, then share results using a Python-enabled web dashboard.

Enthought-Python-Integration-Toolkit-for-LabVIEW-Machine-Learning

Click to see the webinar “Using Python and LabVIEW to Rapidly Solve Engineering Problems” to learn more about adding capabilities such as machine learning by extending LabVIEW applications with Python.

“Python is ideally suited for scientists and engineers due to its simple, yet powerful syntax and the availability of an extensive array of open source tools contributed by a user community from industry and R&D,” said Dr. Tim Diller, Director, IIoT Solutions Group at Enthought. “The Python Integration Toolkit for LabVIEW unites the best elements of two major tools in the science and engineering world and we are honored to receive this award.”

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Webinar: Using Python and LabVIEW Together to Rapidly Solve Engineering Problems

What: Presentation, demo, and Q&A with Collin Draughon, Software Product Manager, National Instruments, and Andrew Collette, Scientific Software Developer, Enthought

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Engineers and scientists all over the world are using Python and LabVIEW to solve hard problems in manufacturing and test automation, by taking advantage of the vast ecosystem of Python software.  But going from an engineer’s proof-of-concept to a stable, production-ready version of Python, smoothly integrated with LabVIEW, has long been elusive.

In this on-demand webinar and demo, we take a LabVIEW data acquisition app and extend it with Python’s machine learning capabilities, to automatically detect and classify equipment vibration.  Using a modern Python platform and the Python Integration Toolkit for LabVIEW, we show how easy and fast it is to install heavy-hitting Python analysis libraries, take advantage of them from live LabVIEW code, and finally deploy the entire solution, Python included, using LabVIEW Application Builder.


Python_LabVIEW_VI_Diagram

In this webinar, you’ll see how easy it is to solve an engineering problem by using LabVIEW and Python together.

What You’ll Learn:

  • How Python’s machine learning libraries can simplify a hard engineering problem
  • How to extend an existing LabVIEW VI using Python analysis libraries
  • How to quickly bundle Python and LabVIEW code into an installable app

Who Should Watch:

  • Engineers and managers interested in extending LabVIEW with Python’s ecosystem
  • People who need to easily share and deploy software within their organization
  • Current LabVIEW users who are curious what Python brings to the table
  • Current Python users in organizations where LabVIEW is used

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

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Presenters:

Collin Draughon, National Instruments, Software Product Manager Collin Draughon, National Instruments
Software Product Manager
Andrew Collette, Enthought, Scientific Software Developer Andrew Collette, Enthought
Scientific Software Developer
Python Integration Toolkit for LabVIEW core developer

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Webinar: Introducing the NEW Python Integration Toolkit for LabVIEW

See a recording of the webinar:

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. In August 2016, 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

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