By holding the CMD key on Mac - or the CTRL key on Windows/Linux - you can place multiple cursors on your screen. One of the coolest features in Sublime Text 3 is multi-cursor. But typing the same keyword over and over again or copy-pasting all the time is boring and slow. sql format.)Įven in the most cleverly written data science script, sometimes you have to be repetitive. Or by simply saving the script with the right file extension. 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.
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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. It gives you a script overview on the right sideĪnd that’s just the beginning there is so much more in Sublime Text 3… Sublime Text 3 vs.
It shows the number of the lines in your script.It recognizes every major language that you will use as a data scientist: SQL, Python, bash, R, etc.
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It’s Sublime Text 3! In this article, I’ll show you: But I’ve realized that I’ve never introduced my favorite script editor. I’ve written about the importance of scripting in data science.
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