While the no-GIL or “free-threaded” builds are considered experimental, it’s not recommended to deploy them in production environments just yet. To optimize performance and address potential bottlenecks, the Python community aims to minimize the impact of single-threading limitations before fully embracing GIL-free concurrency. While these prototypes may never reach full production readiness, preliminary signs suggest a promising start.
Python 3.13 has introduced a pioneering step forward with the launch of Just-In-Time (JIT) compiler or interpreter. This enhancement builds upon previous initiatives to accelerate the interpreter’s performance through strategic optimizations executed at runtime for certain operations. Currently, the speedup does not amount to much (perhaps only around 5% for most applications), but future versions of Python will refine the JIT’s performance where it will yield real-world dividends.
We bid adieu to Python’s seemingly barren codebase.
Python has been around for over three decades, and it’s accumulated some baggage over the years. Some of that legacy code comprises outdated and unmaintained standard library modules. Given the rich ecosystem of libraries and frameworks that ship with Python, these legacy modules are often referred to simply.
