  We argue that the Julia programming language is a compelling alternative to
implementations in Python and C++ for common data analysis workflows in high
energy physics. We compare the speed of implementations of different workflows
in Julia with those in Python and C++. Our studies show that the Julia
implementations are competitive for tasks that are dominated by computational
load rather than data access. For work that is dominated by data access, we
demonstrate an application with concurrent file reading and parallel data
processing.
