here I’ve copy-pasted the SQL script I showed you before.īut you can turn this into a beautifully coloured SQL script by either selecting your preferred language manually: When you type (or copy-paste) your code, Sublime won’t automatically recognize which language you use. The most obvious key feature is syntax highlighting. 😉 (And then if you want to go deeper, you can find on Youtube some more in-depth tutorials anyway.) Syntax highlighting In this article, I’ll list only a few of my favorite features that I use in my data science projects day-to-day - you know, just to whet your appetite. There are hour-long online courses about how to get the most out of Sublime Text 3.
Sublime Text 3: a few key features that will make your coding life easier and happier It’s much faster, much smoother and much more efficient than anything else you’ve used before. For instance, I’ve used mcedit for years… But once you try Sublime Text 3, there is no going back. You can use them from the command line and mcedit even has a nice, visual, point-and-click type of interface - similar to Sublime Text.īut while many data scientists love these old-school script editors, in my experience, they are not user-friendly enough. These are all good tools for editing scripts and code. Many data scientists use vim or nano - or my favorite: mcedit. Sublime is not the one and only text editor for coding.
I’ve written about the importance of scripting in data science.
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