#cpython

#cpython

Excitement for upcoming Python 3.13 with new REPL feature. Using AI for custom CPython build in pyenv.

PyPy v7.3.16 released with interpreters for Python 2.7, 3.9, and 3.10.

CPython now considers WASI a tier 2 platform, ensuring quick fixes for any issues related to WASI support.

Build instructions for WASI are now available in the devguide, with a new CLI in wasmtime 14 for improved usage.

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.

Free-threaded CPython allows running multiple threads in parallel, enhancing performance for multi-threaded applications.

Passing a generator to list comprehension is faster by 16% than passing it directly to join due to the implementation of .join() on CPython.