I’m looking to automate a bench setup built around two specific instruments: • Fluke 5500 multifunction calibrator – I only need frequency-calibration control. • Agilent 34401A digital multimeter – I only need current-measurement acquisition. Here’s what I’d like the Python solution to do: 1. Instrument control – Send the appropriate SCPI commands (via GPIB, USB-GPIB, or RS-232—whichever you prefer) to step the Fluke 5500 through a user-defined frequency sweep. – Trigger the Agilent 34401A to capture corresponding current readings, handling range selection and integration time automatically. – Keep the code modular so additional functions (voltage or resistance, for example) could be added later. 2. Real-time visualization – Plot the live current data against frequency as the test runs. A lightweight matplotlib or PyQt graph is fine as long as the update rate feels smooth on a standard laptop. – Include basic start / stop / save buttons so I can run multiple sweeps during a session. 3. Cloud storage integration – When a sweep finishes, automatically push the dataset to a selectable cloud target (Google Drive or AWS S3 are both acceptable). A simple JSON or YAML config file for access keys and bucket/folder paths is ideal. – Also save a local CSV backup with time-stamped filenames. 4. Usability and hand-off – Clear README with setup instructions, required libraries, and driver links. – Functions and classes neatly documented so another engineer can extend the code. – A short sample data file or screenshot confirming communication with both instruments. If you have prior experience scripting for either of these models, please highlight it—especially any quirks you’ve already solved (GPIB timeouts, command pacing, etc.). I’m happy to test early versions on my hardware and provide feedback, so iterative delivery is welcome.