Julia tutorials for faster, easier data analysis

I love Julia. Just don’t tell my wife. Kidding! I’m talking about the Julia language from MIT. It’s a pleasure to use, and gaining popularity.

How to compare text file lists in Julia

Say you have two lists, each in their own text file. Here’s how to find the mutually exclusive items, as well as the overlap.

How to encode URLs using Julia (the proper way)

There is a Julia package that will encode strings for you, but it doesn’t handle url encoding properly. This code fixes that.

How to use Julia arrays

Learn how to add, delete and replace items in Julia arrays; how to find and remove duplicates in an array; how to join or intersect two arrays, and more.

How to scrape web pages with Julia

Julia can be used for fast web scraping, not just data analysis.

How to use dataframes in Julia

Julia dataframes let you do anything you want: pivot tables, data cleaning, table joins, filtering, and more, all with a nice clean syntax.

How to convert nested JSON to a dataframe or CSV in Julia

You can’t do it in one line of Julia code, but you can do it!

Why Julia? It’s fast and easy

If you’re going to learn a coding language for data science, Julia is the one. Here’s why.

How to download, install and run Julia on a Mac

It’s WAY easier than installing Python. You can install Julia like any other Mac app. You can even use a Homebrew Cask.

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Despite being an amateur at Julia programming and having no prior web-scraping experience, a JuliaSchool tutorial helped me learn enough to make a contribution to an open-source project in the Julia community using these tools, all in the course of a single afternoon. Thanks JuliaSchool! - Joe from Germany