Experimental Just-in-Time (JIT) Compilation
Python introduces an experimental just-in-time (JIT) compiler which, when enabled, can speed up certain Python programs. The JIT compiler works by translating specialized Tier 1 bytecode to a new internal Tier 2 intermediate representation (IR), which is optimized for translation to machine code. Several optimization passes are applied to the Tier 2 IR before it’s interpreted or translated to machine code.
Configuration options (–enable-experimental-jit) allow users to control the JIT’s behavior at build and runtime, including enabling or disabling the JIT and the Tier 2 interpreter.
Potential Benefits of JIT Compiler
- Significant performance improvements for specific code sections that benefit from machine code execution.
- Opens doors for future optimizations that weren’t previously possible with bytecode interpretation.
Python 3.13 New FeaturesMajor new features of the 3.13 series, compared to 3.12
Nearly annually, Python releases a new version. The most recent version, Python 3.13, will be available on May 8, 2024, following Python 3.12 in that order. This version introduced many new features and improvements. This is a pre-release of the next Python version, which introduced some new features as well as improvements to the existing ones. In this article, we will see what has been changed in Python version 3.13.
Table of Content
- A Better Interactive Interpreter
- Experimental Just-in-Time (JIT) Compilation
- Experimental Free-Threaded CPython
- Improved Error Reporting and Guidance
- Interactive Shell Makeover (New REPL)
- Incremental Garbage Collection
- Improved Error Reporting and Guidance
- Memory Optimization for Docstrings
- Enhance Performance in Modules
- Removal of Deprecated Modules (“Dead Batteries”)
- Conclusion
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