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Explore the landscape of Python Just-In-Time (JIT) compilers in this 29-minute conference talk from EuroPython 2025. Discover the experimental JIT compiler introduced in Python 3.13, examine PyPy's established tracing JIT approach, and learn about GraalPy's traditional method-based JIT compilation strategy. Gain insights into the inner workings of these different JIT technologies and understand which types of Python code benefit most from JIT compilation versus code that sees no performance improvement. Delve into the future of JIT compilation in Python, including discussions on when rewriting Python code in C may become unnecessary or even counterproductive for performance. Learn about HPy, the alternative Python C API, and its role in the evolving Python performance ecosystem. Get predictions on the potential interactions between JIT compilation and Python's upcoming free threading (no-GIL) implementation, providing a comprehensive overview of Python's performance optimization landscape.
