Data/ML/AITable-stakesAround since 2006
NumPy
Also written as Numerical Python
The Python library for fast maths on large arrays of numbers. Almost every other data and ML tool is built on top of it.
Think of it like
The foundation slab. You rarely look at it, but everything above it rests there.
Junior or senior?
Table-stakes. Listing it adds nothing on its own, and its absence from a data resume is more telling than its presence.
Ask them
“When did you work with NumPy directly instead of through pandas, and what made that the better choice?”