NumPy
computational skill
Numerical computing library for efficient array operations and mathematical computation.
NumPy provides the n-dimensional array — the core data structure underlying nearly all scientific Python. It enables efficient numerical operations on large datasets, linear algebra, statistical functions, and the foundation upon which Pandas, SciPy, and scikit-learn are built.
Where NumPy is used
Careers using NumPy
Computational Engineer
Uses numerical simulation and scientific computing to model engineering systems.
Scientific Machine Learning Engineer
Builds machine learning systems for scientific applications — from research prototypes to production scientific software.
Research Software Engineer
Builds research software — scientific libraries, pipelines, and tools used by research communities.