快速导读：Python慢，就该用Rust重写？一个工程师用硬核数据告诉你，这几乎是最愚蠢的懒惰。从1.4倍到惊人的1633倍，Python的性能优化是一场关于成本和收益的真实游戏。而最后的真相是，你拼命优化的东西，可能从一开始就搞错了。

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大家好，欢迎来到 Crossin 的编程教室。如果你经常写 Python，一定被这两个问题困扰过：1. 慢： 每次 pip install 大包（比如 PyTorch 或 Pandas）时，进度条像蜗牛爬，只能起身去喝杯咖啡。2. 乱： 为了管理不同项目的 Python 版本和依赖，电脑里装了 ...

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其中 Python 依然稳居第一，不过近几个月热度略有下降，本月下降 2.59%，目前占比 21.25%。究其背后原因，一方面或是因为 Python 在数据科学、人工智能等领域已经逐渐成熟，增长空间相比前几年有所放缓。同时，R、Perl、Rust 和 Type 等语言在特定领域的关注度上升，也在一定程度上分散了开发者的关注，使 Python 的相对比例出现小幅下滑。

I'm taking the road less traveled.

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