Abstract

7 Julia Gotchas and How to Handle Them

Highlights

  • Let me start by saying Julia is a great language

  • One of the first things you have to do in order to master a language is to find out what they are and how to avoid them

  • To understand what just happened, you have to understand that Julia is about not just code compilation, and type-specialization

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Summary

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One of the first things you have to do in order to master a language is to find out what they are and how to avoid them The point of this blog post is to help accelerate this process for you by exposing some of the most common "gotchas" offering alternative programming practices. The Julia developers like to have clearly defined rules for how things act This means that all behavior can be explained. After it's executed they look at the time and go "wait a second, why is this as slow as Python?" Because this is such an important issue and pervasive, let's take some extra time delving into why this happens so we understand how to avoid it

SMALL INTERLUDE INTO WHY JULIA IS FAST
HOW TO AVOID THE ISSUE
CONCLUSION
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