Unverified50% confidenceSolutionExact time
练习阶段应刻意禁用 sklearn、PyTorch 的高层 API，逼自己用 NumPy 甚至纯 Python 实现
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/5/2026
First Seen
Valid until: 11/3/2026
Sources
Related Claims
VerifiedDue to the existence of the GIL (Global Interpreter Lock), Python only allows one thread to execute Python bytecode at any given moment, creating a bottleneck in CPU-intensive concurrent scenarios67% similarUnverifiedPython's Global Interpreter Lock (GIL) limits true multi-threaded parallelism; Python 3.13 has begun advancing experimental GIL-free support (PEP 703).67% similarVerifiedPython version 3.13 introduced an experimental free-threaded mode (PEP 703), allowing it to run with the GIL disabled.66% similarUnverifiedPython's asyncio library allows switching to execute other tasks while waiting for an operation to complete, and mainstream frameworks such as LangChain generally provide asynchronous interfaces.66% similarUnverifiedPython 标准库的 dataclasses 模块使用 MISSING 哨兵，functools.reduce 内部实现也使用类似的哨兵机制64% similar
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