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Explore a 42-minute conference talk from EuroPython 2024 that delves into optimizing data analysis pipelines on a single core. Learn how to boost performance, reduce processing time, and cut costs without resorting to parallelization. Follow a step-by-step walkthrough demonstrating tools for identifying bottlenecks through profiling and strategies to address them. Discover techniques to enhance memory and runtime performance using numpy, numba jit-ing, and pybind11 extensions. Gain valuable insights into maximizing efficiency in your data analysis workflows, all while focusing on single-core optimization.