I just started doing the data science nano degree on udacity. Udacity recommends using anaconda + atom. I have heard others tell me to use Jupyter notebook. Is that an alternative for atom alone or...

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Jupyter is a notebook format, which you’ll get bundled with Anaconda. Atom is a text editor that you can mod into an Integrated Development Environment (IDE). I’d recommend following whatever the course uses since writing code in notebooks and in text editors has a bit of a different format and sometimes requires different syntax.

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Notebooks are the devil.

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... or for atom +anaconda. I am a bit confused on what to use.

Atom is better

Vs Code with Jupyter integration. /thread

Eh...

1) python environment management - anaconda
Personally I don’t like anaconda which to me just manages python environments. I prefer pyenv or even manage my own binary installations through bash profile.

2) editor - Atom/notebook
If you’re doing things that don’t go into production, notebooks are fine. Though there are solutions out there use notebooks to productionize stuff, atom or pycharm are great tools.

Highly recommend Sublime Text

For udacity purposes use Jupyter as you will be able to submit projects without switching formats. As a beginner myself in programming and recently taking some udacity nanos, I thought for purposes of taking the class (for someone unfamiliar) using the same software they demonstrated on was key. As I get more familiar and comfortable I will expand upon the other options.

I normally code originally in a notebook then move finished code into a standalone .py script as I finish it. Then you can import your own code as a module back into the notebook to keep building on it. I prefer VS Code as my editor.

I also want to note there is a third option beyond editors and notebooks, and those are IDEs (interactive development environment) like Spyder or PyCharm. I find myself using those the least, but can be useful sometimes. Everything overlaps a little.

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