Performance analysis: Julia, Python & C

Too Long; Didn't Read

After my introduction to the world of open source, I had to work with various programming languages, based on the requirements of the project I was working on. I had worked on Python, Ruby, Java and C++. All Python programmers would agree that learning how to code (without going into internal details) in Python is pretty simple. A little practice and you can write a lot of powerful codes in just a few lines and certain big computations (for which even there’s no data-type available in C) can be achieved. It’s pretty similar for Ruby too, just that it doesn’t bother the programmers much about incorrect indentation. But, when it comes to performance, the C language stands way ahead of it’s interpreter-based counterparts.