Learn about some of the most popular Python compilers and how they can help you improve the performance, security, or compatibility of your code.

Python is treated the same way we treat the other compilers. With one big particularity. Python can be: Interpreted Compiled to machine code Compiled to bytecode In this section I will describe how we ...

They've developed a Python compiler called Codon that turns Python code into native machine code without a runtime performance hit. "Typical speedups over Python are on the order of 10-100x or more, ...

Dropbox's compiler for Python uses the LLVM to push the language closer to C/C++ speeds, but it's far from production-ready Fast development or fast execution, take your pick. Python programmers ...

Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.12. You feed it your Python app, it does a lot of clever things, and spits out an executable or ...

DSLs are languages focused on a specific purpose, as opposed to a general purpose programming language like Python or C. Examples of DSLs include CSS, SQL, and the ancient runes make understands.

Python 3.13 adds a JIT compiler, enhancing performance by converting code to machine code at runtime, boosting the performance by 2-9%.

Written in Rust, the PyApp utility wraps up Python programs into self-contained click-to-run executables. It might be the ...

The Python online compiler provides a convenient platform for writing, sharing, and compiling Python code online. It is known for being the fastest and simplest online compiler for Python, supporting ...