Julia Articles, Tutorials & News

Is Julia Fast?

An overview of what you can and cannot expect from Julia performance. A guide to the fence sitters pondering whether to use Julia for high…

Read more »

Calling R from Julia

Since Julia has a younger ecosystem, you won’t always find the functionality you need for every task.  In those cases, you’re left with the choice to either: Implement it yourself. This is great for the Julia community in the long run (especially if you …

Read more »

Calling R from Julia

Since Julia has a younger ecosystem, you won’t always find the functionality you need for every task.  In those cases, you’re left with the choice to either: Implement it yourself. This is great for the Julia community in the long run (especially if you …

Read more »

Querying Amazon Athena Using Julia

Julia is a fairly modern scientific programming language that is free, high-level, fast, and bundles a bunch of awesome features that makes Julia working with data great again. Amazon Athena is an interactive query service which allows you to easily analy…

Read more »

Performance Tips (Julia)

The Julia Language Docs have a great page on performance tips.  It’s worth a read, but the writing is aimed more towards a computer scientist than a data scientist. Here we’ll cover some easy performance wins. We find the best way to code in Julia is to:…

Read more »

From Julia to Rust

I’ve been more serious about learning Rust recently, after dragging on with passive learning for a while. My first real programming language was Julia, and I know other Julians interested in Rust. I’ve written this article for those people in mind, becaus…

Read more »

From Julia to Rust

I’ve been more serious about learning Rust recently, after dragging on with passive learning for a while. My first real programming language was Julia, and I know other Julians interested in Rust. I’ve written this article for those people in mind, becaus…

Read more »

Run Analyses Directly from Big CSVs in Julia

Big data is an overloaded term.  Here at Julia For Data Science, we’ll loosely define it as: Big data is any dataset (or collection of datasets) that requires you to change how you analyze it because of its size.For example, I am writing this post on a la…

Read more »