FWIW, there exists a package for calling Pandas from Julia with almost no overhead. It lets you set and get elements of Pandas timeseries as fast as native Juli

FWIW, there exists a package for calling Pandas from Julia with almost no overhead. It lets you set and get elements of Pandas timeseries as fast as native Julia arrays: https://github.com/malmaud/Pandas.jl https://github.com/malmaud/Pandas.jl (I'm the author). Thus Julia can be seen as a tool that leverages Pandas, not as a rival. In fact, most Python libraries are very easy to wrap in Julia because of the PyCall package (https://github.com/stevengj/PyCall.jl https://github.com/stevengj/PyCall.jl).