Dynamic

Python vs RPG

Pick Python when developer speed beats machine speed: data analysis, ML pipelines, automation, APIs — the library ecosystem is unmatched and the hiring pool is the deepest in software 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.

🧊Nice Pick

Python

Pick Python when developer speed beats machine speed: data analysis, ML pipelines, automation, APIs — the library ecosystem is unmatched and the hiring pool is the deepest in software

Python

Nice Pick

Pick Python when developer speed beats machine speed: data analysis, ML pipelines, automation, APIs — the library ecosystem is unmatched and the hiring pool is the deepest in software

Pros

  • +Don't pick it for memory-constrained embedded targets, mobile apps, or latency-critical trading paths; compiled languages like C++, Rust, or Go win those outright
  • +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 don't pick it for memory-constrained embedded targets, mobile apps, or latency-critical trading paths; compiled languages like c++, rust, or go win those outright 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

Pick Python when developer speed beats machine speed: data analysis, ML pipelines, automation, APIs — the library ecosystem is unmatched and the hiring pool is the deepest in software

Learn about Python →Learn about RPG →

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