<ul><li>The author replaced Python with C in a high-performance data processing project due to performance bottlenecks.</li><li>Key reasons for choosing C included predictable performance, direct memory control, and better hardware integration.</li><li>The rewrite process involved creating C extensions for critical functions using Python's C API.</li><li>A hybrid approach resulted in a 5-8x speedup in critical functions while maintaining most of the system in Python.</li><li>Challenges included adapting to manual memory management and error handling in C.</li><li>Lessons learned included not rewriting all code, using hybrid approaches, and prioritizing testing.</li><li>The current architecture involves a Python frontend, a C core engine, and direct hardware communication.</li><li>The migration to C led to significant performance improvements, better hardware integration, and reduced resource requirements.</li><li>While C offered benefits for this project, the tradeoffs in development speed and maintainability should be considered.</li><li>The author suggests considering Rust for future projects needing a balance between safety and performance.</li></ul>

How I Replaced Python with C in My Project

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