One of the most significant improvements in Python 3.11 is its faster execution speed. The Python developers have worked on optimizing the interpreter, and the results are impressive. According to the official Python benchmarks, Python 3.11 is about 10-60% faster than Python 3.10, depending on the specific use case.
# Python 3.10 Traceback (most recent call last): File "calc.py", line 2, in <module> result = 100 / (50 - 50) ZeroDivisionError: division by zero
Note: Writing TOML still requires third-party libraries like tomli-w or tomlkit . python 3.11
: Introduced TypeVarTuple , enabling type hints for arrays of arbitrary shapes, which is a major win for data science and numerical computing libraries.
Some research papers that might be of interest: One of the most significant improvements in Python 3
Python 3.11 continued the language's push toward better static analysis with five new type-related PEPs:
The headline feature of Python 3.11 is the result of Microsoft’s "Faster CPython" team, led by Mark Shannon. For years, Python developers accepted the trade-off of slower execution for rapid development speed. Python 3.11 narrowed that gap significantly. # Python 3
So, why should you upgrade to Python 3.11? Here are a few compelling reasons:
async def main(): tasks = [risky_task("A", True), risky_task("B", False), risky_task("C", True)] try: results = await gather( tasks, return_exceptions=False) except ValueError as eg: for exc in eg.exceptions: print(f"Handling: exc")