Tips for the Scientific Programmer

Discover essential strategies for tackling large-scale numeric calculations in this 45-minute conference talk from EuroPython 2019. Explore key challenges faced by scientific programmers, including efficient parallelization, managing large datasets, avoiding memory issues, and optimizing performance. Learn valuable lessons from years of experience in numeric simulations, focusing on overall architecture, design choices, and effective algorithms rather than micro-optimizations. Gain insights applicable to scientific computing, quantitative finance, and other fields requiring intensive numerical processing.