There have been many changes at NI recently, particularly with the fairly recent acquisition of the company by Emerson. But one thing that appears to remain unchanged is the company’s allegiance to test and measurement.

Chicago, Illinois. Newark will now carry NI’s LabVIEW+ Suite that includes LabVIEW plus, TestStand, DIAdem, and FlexLogger. The software bundle contains tools for test, analysis, and measurement. Newark Vice President, Global Product & Supplier Management, Lee Turner, said, “The LabVIEW+ Suite can help development engineers make faster decisions, prototype more efficiently, and validate their work with greater ease. With its ability to deliver a wealth of usable data, this suite is a valuable asset for any engineer looking to streamline their workflow."

Most of us are familiar with obstacles and complications that have arisen alongside working remotely. While the transition was easier for some than others, developers faced unique challenges in their work, especially when it comes to viewing and collaborating on projects away from a centralized location.

On the last episode of Embedded Toolbox, David Prida, solutions marketer at NI, demonstrated how you can use NI’s LabVIEW graphical programming tool to quickly and easily create a temperature measurement workflow. This week, the saga continues with an added bonus: Python!

Have you ever tried using a graphical programming interface? If you work better with visuals, it might be the best programming method you’ve ever tried. NI’s LabVIEW is a great example of a graphical programming interface that’s extraordinarily easy to use.

When you think of NI, you might think about LabVIEW, its flagship software, a graphical programming tool that engineers have used for the past 30 years to develop automated research, validation, and production test systems. And you wouldn’t be wrong in your thinking.

The Python programming language is quite popular these days and carries a vast ecosystem. It has a large community, and access to different sets of packages and libraries that are highly mature. That includes things like artificial intelligence (AI) and machine learning, and the different types of data analysis and processing elements that are required to handle these applications.