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  1. Beginners assume Python is compiled because of .pyc files. The .pyc file is the compiled bytecode, which is then interpreted. So if you've run your Python code before and have the .pyc file handy, it will run faster the second time, as it doesn't have to re-compile the bytecode.

  2. Sep 18, 2024 · Get a sneak peek at the upcoming features in Python 3.13 aimed at enhancing performance. In this tutorial, you'll make a custom Python build with Docker to enable free threading and an experimental JIT compiler. Along the way, you'll learn how these features affect the language's ecosystem.

  3. Sep 30, 2024 · In this tutorial, you'll learn about the new features in Python 3.13. You'll take a tour of the new REPL and error messages and see how you can try out the experimental free threading and JIT versions of Python 3.13 yourself.

  4. Sep 28, 2024 · The core idea behind copy-and-patch as opposed to more advanced JIT compilers is that there is a simple list of pre-generated templates – the JIT compiler will pattern match for bytecode that matches one of the pre-defined templates and if it does, it will patch in pre-generated native machine code.

  5. Oct 7, 2024 · Python 3.13 introduces experimental free-threaded mode and JIT compiler, paving the way for improved performance and multi-core utilization while enhancing the interactive experience.

  6. Write and run your Python code using our online compiler. Enjoy additional features like code sharing, dark mode, and support for multiple programming languages.

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  8. Easily execute Python 3 code online with our user-friendly Python 3 compiler (interpreter). Our interpreter uses the latest version of the standard Python 3 interpreter to ensure accurate results.