There's a lot of generic numerical analysis libraries which is where it shines over Python. It matches pretty well in areas like data science and machine learni

There's a lot of generic numerical analysis libraries which is where it shines over Python. It matches pretty well in areas like data science and machine learning. For example, for tables there JuliaDB which is more akin to dask since it works out-of-core (but it's also able to use built-in online algorithms), DataFrames.jl which matches R, and Pandas.jl which is a straight wrapper for Python pandas.