Python for Automation Engineers: Bridging PLC Programming and AI
How automation engineers can leverage Python for data analysis, machine learning, OPC UA communication, and automating engineering workflows.
Python is increasingly important for automation engineers. It bridges the gap between traditional PLC programming and modern AI/data science.
Why Python for Automation Engineers?
- -Read PLC data via OPC UA (opcua library)
- -Analyze production data (Pandas, NumPy)
- -Build predictive maintenance models (scikit-learn)
- -Automate engineering tasks (file processing, report generation)
- -Integrate with cloud platforms
EDWartens teaches Python as part of both Physical AI and Digital AI programs, making it the connecting language between the two pillars.
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