It is a fine question, but it has been done several times already. As for interpreters vs jit compilers, the tradeoffs are generally around runtime performance vs development time A compiler and an interpreter do the same job
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Translating a programming language to another programming language, usually closer to the hardware, often direct executable machine code.
The python interpreter first reads the human code and optimizes it to some intermediate code before interpreting it into machine code
That's why you always need another program to run a python script, unlike in c++ where you can run the compiled executable of your code directly For example, c:\python27\python.exe or /usr/bin/python. Performance a compiler takes quite a long time to translate the source program to native machine code, but subsequent execution is fast an interpreter starts executing the source program immediately, but execution is slow interpretive compilers an interpretive compiler is a good compromise between compilers and interpreters. In interpreted languages, the cpu usually runs the interpreter or virtual machine
This makes interpreted languages generally slower than compiled languages, due to the overhead of running the vm or interpreter While we speak of interpreted and compiled languages, what we are really discussing is the usual execution style of a language. I couldn't find the difference between jit and interpreters Jit is intermediary to interpreters and compilers
During runtime, it converts byte code to machine code ( jvm or actual machine ?) fo.
Unlike a compiler, an interpreter's backend doesn't generate code, but executes it Obviously, this is a different problem entirely and hence an interpreter looks quite difference from a compiler
