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Posted on March 23, 2021 at 3:30am 0 Comments 0 Likes
In my last post, I have compared R to Julia, showing how Julia brings a refreshening programming mindset to the Data Science community. The main takeaway is that…
ContinuePosted on August 22, 2019 at 1:00pm 0 Comments 0 Likes
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. Instead of interpreting code, Julia compiles code in runtime. While JIT compilation has…
ContinuePosted 12 April 2021
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