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 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.
Sublime text editor for mac code#
Sublime Text colors your code according to the syntax you use.Except that Sublime Text 3 is specialized for coding. You can type text in it and you can save that in different file formats. It’s like TextEdit (on Mac) or Notepad (on Windows). Sublime Text 3 is a text editor for coding. I’m not affiliated with the Sublime Text team in any way. Note: After writing and re-reading this article, I’ve realized that I speak very highly of Sublime Text 3… So just in case, let me add here: I praise it because I love it. What are its best features for data scientists?.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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