COBOL vs Python
Developers should learn COBOL to work on legacy systems in industries like banking, insurance, and government, where it is still heavily used for core business operations meets python is widely used in the industry and worth learning. Here's our take.
COBOL
Developers should learn COBOL to work on legacy systems in industries like banking, insurance, and government, where it is still heavily used for core business operations
COBOL
Nice PickDevelopers should learn COBOL to work on legacy systems in industries like banking, insurance, and government, where it is still heavily used for core business operations
Pros
- +It is essential for maintaining, updating, and migrating these systems, especially as organizations face a shortage of COBOL programmers and seek to integrate with modern technologies
- +Related to: mainframe-computing, jcl
Cons
- -Specific tradeoffs depend on your use case
Python
Python is widely used in the industry and worth learning
Pros
- +Widely used in the industry
- +Related to: django, flask
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use COBOL if: You want it is essential for maintaining, updating, and migrating these systems, especially as organizations face a shortage of cobol programmers and seek to integrate with modern technologies and can live with specific tradeoffs depend on your use case.
Use Python if: You prioritize widely used in the industry over what COBOL offers.
Developers should learn COBOL to work on legacy systems in industries like banking, insurance, and government, where it is still heavily used for core business operations
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