BEST IDE FOR PYTHON MAC MACHINE LEARNING CODE
I use Rope for automatic refactoring and code generation. I have snippets for just about every frequently typed piece of code. I use Yasnippet for boilerplate code snippets. I use Elpy (pre-configured Emacs Python IDE) as a base, with Jedi as the autocompletion engine. If I need "production code" then I just copy-paste when I'm finished and refactor into a nice file/project. They are really fantastic for development. I also do all my analysis on a server so I can't use an IDE, but jupyter notebooks are through the browser so I can open an ssh tunnel to it and still work with an IDE-like environment. Then I can just save the notebook (which automatically saves all my images in the notebook), and also print-to-pdf if I need to show my boss or I need to keep a record of it. I only ever have to load the data once, and the editing is super fast because the notebook is a text editor and not an ipython terminal or something. So I can run 1+2 once, then keep revising 3+4 until I get it correct. Quick example because that's the fastest way to explain: They let you iterate faster than anything else out there because you can run specific code blocks (ie any number of lines) at any time. I'm a grad student and I have really started to like jupyter notebooks. Metacademy is a great resource which compiles lesson plans on popular machine learning topics.įor Beginner questions please try /r/LearnMachineLearning, /r/MLQuestions or įor career related questions, visit /r/cscareerquestions/
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