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#Using python on mac sublime text code

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.

#Using python on mac sublime text 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.