Julia vs Python: Which programming language will rule machine learning in 2019?

Julia emerged in 2018 as one of the fastest-growing programming languages, prized for its approach of combining the strengths of several major languages. Having recently hit version 1.0, those behind Julia now have ambitions for it to become the language of choice in the field of machine learning (ML). Helping realise that goal is Flux, a machine-learning software library for Julia that's designed to make ML code easier to write, to simplify the training process, and to offer certain performance benefits over rival frameworks on hardware accelerators such as GPUs and Google's TPUs [Tensor Processing Units]. Today the Python and R languages typically dominate machine learning, with Python still the fastest-growing programming language in terms of developer popularity, driven in large part by the strength of its machine-learning frameworks and libraries. In comparison, only a relatively small proportion of developers use the fledgling Julia.