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Jul 18, 2013 · Bytecode caching is probably what you heard about, as it can speed up the importing of previously used modules by a fair amount. It doesn't change performance after the modules are loaded though. You can disable bytecode caching with the -B command line option or the PYTHONDONTWRITEBYTECODE environment variable.
May 10, 2020 · Bytecode is an intermediate language for the Python virtual machine that’s used as a performance optimization. Instead of directly executing the human-readable source code, compact numeric codes, constants, and references are used that represent the result of compiler parsing and semantic analysis.
Beyond standard Python bytecode optimization, you can compile Python code to more efficient machine code using tools like Cython and PyPy. These tools provide even greater performance benefits by converting Python to C code (Cython) or by using a JIT compiler with PyPy.
Dec 19, 2023 · The GIL restricts only one thread to execute Python bytecode at a time, effectively hindering true parallelism. This can be a major bottleneck for CPU-bound tasks that require heavy computation.
Jun 8, 2023 · The Python compiler, which is a component of the CPython interpreter, converts your source code into CPython bytecode at this stage. This bytecode is a set of lower-level, cross-platform...
Jul 22, 2024 · Explore Python's bytecode compilation process, including parsing, syntax analysis, and execution by the Python Virtual Machine (PVM) for efficient code execution.
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Mar 5, 2020 · Understanding Python’s bytecode allows you to get familiar with the low-level implementation of the Python compiler and virtual machine. If you know how your source code is converted to the bytecode, you can make better decisions about writing and optimizing your code.