I understand that Python is an interpreted language, but the performance would be much higher if it was compiled.
Note: I know about .pyc
files, but those are bytecode, not compiled files.
For the most part, Python is an interpreted language and not a compiled one, although compilation is a step. Python code, written in . py file is first compiled to what is called bytecode (discussed in detail further) which is stored with a . pyc or .
The compilation part is done first when we execute our code and this will generate byte code and internally this byte code gets converted by the python virtual machine(p.v.m) according to the underlying platform(machine+operating system).
Python, the language, like any programming language, is not in itself compiled or interpreted. The standard Python implementation, called CPython, compiles Python source to bytecode automatically and executes that via a virtual machine, which is not what is usually meant by "interpreted".
There are implementations of Python which compile to native code. For example, the PyPy project uses JIT compilation to get the benefits of CPython's ease of use combined with native code performance.
Cython is another hybrid approach, generating and compiling C code on the fly from a dialect of Python.
However, because Python is dynamically typed, it's not generally practical to completely precompile all possible code paths, and it won't ever be as fast as mainstream statically typed languages, even if JIT-compiled.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With