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Custom PLC Languages vs Python

Developers should learn custom PLC languages when working in industrial automation, robotics, or process control industries, as they are essential for programming PLCs to manage machinery, assembly lines, or safety systems meets use python for rapid prototyping, data science with libraries like pandas, or web development with django, where developer productivity and readability are priorities. Here's our take.

🧊Nice Pick

Custom PLC Languages

Nice Pick

Pros

+They are used in scenarios requiring deterministic, real-time responses, such as automotive manufacturing, water treatment plants, or power grid management, where standard programming languages may not meet hardware or safety requirements
+Related to: industrial-automation, plc-programming

Cons

-Specific tradeoffs depend on your use case

Python

Use Python for rapid prototyping, data science with libraries like Pandas, or web development with Django, where developer productivity and readability are priorities

Pros

+It is not the right pick for memory-constrained embedded systems or high-frequency trading due to its slower execution speed compared to compiled languages like C++
+Related to: django, flask

Cons

-Specific tradeoffs depend on your use case

The Verdict

Use Custom PLC Languages if: You want they are used in scenarios requiring deterministic, real-time responses, such as automotive manufacturing, water treatment plants, or power grid management, where standard programming languages may not meet hardware or safety requirements and can live with specific tradeoffs depend on your use case.

Use Python if: You prioritize it is not the right pick for memory-constrained embedded systems or high-frequency trading due to its slower execution speed compared to compiled languages like c++ over what Custom PLC Languages offers.

🧊

The Bottom Line

Custom PLC Languages wins

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