A Beginner’s Guide To Optimizing Julia Code

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Originally published on Towards AI.

How To Find And Fix Performance Bottlenecks

In this article, I will share some tips to help speed up the Julia code. The goal is to help newcomers to this language be familiar with the common tools and techniques they can use to help optimize their Julia code.

I assume the reader can read Julia code and has the Juno IDE installed. The code to reproduce the results presented in this article can be found in this notebook.

This article is a follow-up of a previous article [1] where I posed the following problem:

Figure 1: The problem statement

I presented two Julia-based solutions. The first version could process a 6… Read the full blog for free on Medium.

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Published via Towards AI