Python Is So Slow. Can Julia Solve the Two-Language Problem?
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Julia vs Python performance analysis, highly relevant.
Summary
Python's performance bottleneck forces the two-language problem—prototype in Python, rewrite in C++/Rust—which AI coding agents can't fix. Julia, created in 2012 by four 'greedy' scientists, aims to be as easy as Python but as fast as C, echoing Kenneth Iverson's 1979 Turing Award vision of a unified notation (APL) that collapsed code into symbols. The article argues Julia could be the 'wood as strong as steel' that eliminates the need for dual-language workflows.