Fortran vs Python
Developers should learn Fortran when working in fields that require high-performance numerical simulations, such as computational physics, climate modeling, engineering analysis, and financial modeling, due to its optimized compilers and legacy codebases meets python is widely used in the industry and worth learning. Here's our take.
Fortran
Developers should learn Fortran when working in fields that require high-performance numerical simulations, such as computational physics, climate modeling, engineering analysis, and financial modeling, due to its optimized compilers and legacy codebases
Fortran
Nice PickDevelopers should learn Fortran when working in fields that require high-performance numerical simulations, such as computational physics, climate modeling, engineering analysis, and financial modeling, due to its optimized compilers and legacy codebases
Pros
- +It is especially valuable for maintaining and extending existing scientific software, where its array-handling capabilities and mathematical libraries (e
- +Related to: numerical-computing, high-performance-computing
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 Fortran if: You want it is especially valuable for maintaining and extending existing scientific software, where its array-handling capabilities and mathematical libraries (e and can live with specific tradeoffs depend on your use case.
Use Python if: You prioritize widely used in the industry over what Fortran offers.
Developers should learn Fortran when working in fields that require high-performance numerical simulations, such as computational physics, climate modeling, engineering analysis, and financial modeling, due to its optimized compilers and legacy codebases
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