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37. As I understand, the cause of the speed difference between compiled languages and python is, that the first compiles code all way to the native machine's code, whereas python compiles to python bytecode, to be interpreted by the PVM. I see that this way python codes can be used on multiple operation system (at least in most cases), however ...
May 1, 2020 · 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 ...
Feb 26, 2012 · 73. Python has a compiler! You just don't notice it because it runs automatically. You can tell it's there, though: look at the .pyc (or .pyo if you have the optimizer turned on) files that are generated for modules that you import. Also, it does not compile to the native machine's code.
Dec 11, 2019 · It just doesn't compile it to "native" machine code. (Although technically, it is native machine code for the CPython virtual machine. After all, when talking about "native machine code", you always have to specify what machine you are talking about!) It is also not hard to ahead-of-time compile Python to native machine code.
Keep in mind that programing languages are simply tools, and you have to choose the right tool for the job, python may not be the right tool in this case. EDIT: After doing some quick research, it looks like your best option would be to use a transpiler to convert your python code to C and then compile the C to an executable.
Mar 13, 2023 · Python, for many years, hasn’t had a good compiler that compiles to efficient machine code. Python itself is not the fastest language, with native C code outperforming it by many times. For real ...
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Mar 18, 2023 · Codon is a new "high-performance Python compiler that compiles Python code to native machine code without any runtime overhead," according to its README file on GitHub. Typical speedups over Python are on the order of 10-100x or more, on a single thread. Codon's performance is typically on par with (and sometimes better than) that of C/C++.
