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Ben Affleck’s recent admission that he has been writing Python code and training neural networks on GPUs has sparked a wave of curiosity among market participants. While the headline is entertaining, the underlying message is clear: advanced computing tools are becoming integral to every layer of trading, from data ingestion to execution. This article uses a simple order‑book example to show how quantitative traders can translate raw computational power into more precise execution strategies. The Rise of Python and GPUs in Quantitative Trading Python’s ecosystem of libraries for data science, machine learning, and high‑performance computing has made it the lingua franca of quant teams....