Python vs RPG

Use Python for rapid prototyping, data science with libraries like Pandas, or web development with Django, where developer productivity and readability are priorities meets developers should learn rpg when working with legacy or current ibm i systems in industries like finance, manufacturing, and logistics, where it is widely used for mission-critical applications. Here's our take.

Python

Nice Pick

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

RPG

Developers should learn RPG when working with legacy or current IBM i systems in industries like finance, manufacturing, and logistics, where it is widely used for mission-critical applications

Pros

• It is essential for maintaining and modernizing existing RPG-based software, as well as developing new business applications that require robust database handling and report generation on IBM platforms
• Related to: ibm-i, db2

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use Python if: You want 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++ and can live with specific tradeoffs depend on your use case.

Use RPG if: You prioritize it is essential for maintaining and modernizing existing rpg-based software, as well as developing new business applications that require robust database handling and report generation on ibm platforms over what Python offers.

The Bottom Line

Python wins

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