#cpython

[ follow ]
#performance-optimization
fromInfoWorld
2 months ago
Python

What you need to know about Python 3.14's faster interpreter

Python 3.14 will boost performance by up to 30% without requiring changes to existing code.
fromQuansight
9 months ago
Python

Free-threaded CPython is ready to experiment with!

Free-threaded CPython allows running multiple threads in parallel, enhancing performance for multi-threaded applications.
fromInfoWorld
2 months ago
Python

What you need to know about Python 3.14's faster interpreter

Python 3.14 will boost performance by up to 30% without requiring changes to existing code.
fromQuansight
9 months ago
Python

Free-threaded CPython is ready to experiment with!

Free-threaded CPython allows running multiple threads in parallel, enhancing performance for multi-threaded applications.
more#performance-optimization
fromInfoWorld
1 year ago
Python

The best Python libraries for parallel processing

Python's default implementation, CPython, is single-threaded and doesn't use more than one hardware thread at a time.
Threading in Python provides concurrency, but not parallelism, and may not speed up tasks that require a full CPU.
Python libraries and frameworks like Ray, Dask, and Dispy can help parallelize and distribute workloads across multiple cores and machines.
[ Load more ]