As documented in a previous post, it is currently impossible to install the nidaqmx-python library into a Docker container. Enabling this functionality would create an opportunity for software teams to build cutting edge big data pipelines for measurement instruments using container technology. This could also optimize development time by including custom DAQ code in continuous integration pipelines.
