Freeing the Data Scientist's Mind from the Curse of Vectorization - Paging Julia for Rescue

Freeing the Data Scientist’s Mind from the Curse of Vectorization - Paging Julia for Rescue

Nowadays, most data scientists use either Python or R as their main programming language. That was also my case until I met Julia earlier this year. Julia promises performance comparable to statically typed compiled languages (like C) while keeping the rapid development features of interpreted languages (like Python, R or Matlab). This performance is achieved by just-in-time (JIT) compilation.