Building a scientific Python stack with Coiled

Aug 26, 2025 9 min read At the heart of most scientific computing stacks are a handful of core libraries that provide general-purpose numerical methods, domain-specific analyses, and the machinery for machine learning. NumPy and SciPy provide fundamental array operations, linear algebra, and scientific routines. Pandas and Xarray handle structured/tabular and labeled multi-dimensional data, respectively.