While compiling Python code can improve speed, it may also affect maintainability. Compiled code can be harder to debug and less transparent than interpreted Python code.

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 ...

The Enhanced Python Compiler Project aims to create a hybrid compiler that combines the strengths of Go's performance with Python's flexibility. The project is divided into two primary components: an ...

Maybe: A Python-native JIT compiler. One proven way to make Python faster while keeping the language’s beloved flexibility is to use a just-in-time compiler, or JIT.

May I get your support on compiling ARM64 PyArrow. I’m trying to compile it through the below steps on Windows on ARM device. When I run the last line command ‘python setup.py build_ext –inplace’ in ...