Julia is great because it's fast and you can develop everything in a single language. Take PyTorch or TensorFlow for example. They are hard to understand becaus

Julia is great because it's fast and you can develop everything in a single language. Take PyTorch or TensorFlow for example. They are hard to understand because they are a mix of C++ and Python. Whereas Flux.jl is a pure Julia library and performance is comparable. There are even efforts to build a pure BLAS replacement in Julia, and performance is comparable to FORTRAN. If you are into scientific computing, this is amazing because it lets you operate at a much higher level, close to mathematics.