
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.

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.

The left file serves as a reference).I’ve written about the importance of scripting in data science.

It should open a split window with your current color scheme on the left & your User version of the color scheme on the right (You cannot edit the left file because it is an installed package resource, you can only edit the right one. It allows you to easily perform such operations.Īssuming you have the package installed, just select PackageDev: Edit Current Color Scheme. For such operations, I would recommend the PackageDev package.
