Julia is comparable to Python for simple machine learning tasks and better for complex ones

JAXenter: When you created Julia, you stated your reasons for developing the language in a blog post from 2012. Looking at it now, has Julia lived up to--or even exceeded--your expectations? Native Julia programs are often 10x-100x faster than similar programs in R, Python, Matlab, etc. Julia team: We certainly believe that Julia has lived up to the expectations of the original blog post. Today, Julia achieves performance that is orders of magnitude better than other dynamic languages for technical computing. Native Julia programs are often 10x-100x faster than similar programs in R, Python, Matlab, etc. Here's a recent machine learning example discussed on Twitter, where Julia is 10x-100x faster than Python.