Abstract:Python's Global Interpreter Lock prevents execution on more than one CPU core at the same time, even when multiple threads are used. However, starting with Python 3.13 an experimental build allows disabling the GIL. While prior work has examined speedup implications of this disabling, the effects on energy consumption and hardware utilization have received less attention. This study measures execution time, CPU utilization, memory usage, and energy consumption using four workload categories: NumPy-based, sequential kernels, threaded numerical workloads, and threaded object workloads, comparing GIL and free-threaded builds of Python 3.14.2.
НХЛ — регулярный чемпионат。新收录的资料是该领域的重要参考
I load in Aseprite files and have my City of None engine automatically turn them into game animations, using their built in tags and frame timings. The format is surprisingly straight forward. When you write your own tools it's really easy to add things like this!，更多细节参见新收录的资料
Российская армия уничтожила воевавшего за ВСУ наемника-трансвестита17:37