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.
Julia can be used for fast web scraping, not just data analysis.
Julia dataframes let you do anything you want: pivot tables, data cleaning, table joins, filtering, and more, all with a nice clean syntax.
You can’t do it with one function, but you can do it!
This tutorial will show you how to add, delete, and replace items in arrays in Julia.
If you’re going to learn a coding language for data science, Julia is the one. Here’s why.
It’s WAY easier than installing Python. You can install Julia like any other Mac app. You can even use a Homebrew Cask.