What an interesting predicate!
Programming Language ecosystem will grow day by day eventually.
For school projects, non mission critical systems; developers/architects may choose any programming whatever they want.
Reporting software metrics in many aspects is very important for the source code and code in runtime.
Selection criteria's may different the business you work; such as AI projects require PL switches on GPU resources, yeah Phyton is very strong(thanks to academic researchers). 15 years ago R was very popular.
When you start to measure code quality, software availability etc in Java , C ,C++ , .Net projects, many tool options are reachable and verified frameworks, developers trust in them.
No comments:
Post a Comment