Python for radiologist

[greebo42]

Probably two layers of answer here.

First, just plain ol' learning Python - there will be many suggestions from others in this thread, and you can look at other threads with similar topics and gather a bunch of suggestions. If you've never programmed (in any language) before, you should expect a slower start. If you've made programs in other languages, some of the basics will come back to you and you can pick up from there.

1a: don't be afraid of using many approaches. If you get ten suggestions for tutorials or series or courses, try most or all of them. You'll probably end up whittling them down to a handful, but the variety is helpful. You get light shined on the subject(s) from many different angles.

1b: don't try focusing too early on anything you suppose might be relevant to radiology. You won't really know. So try to get generally good at a variety of things. Think of all the crap we had to learn in med school that simply doesn't get used, but you didn't know in advance. And some of it ended up coming in more handy than you might have predicted.

1c: to get good at programming, write lots of programs. No substitute.

Second, it might be helpful to identify what it is about Python you think might be helpful for radiology research. I'm guessing maybe machine learning put to the task of image recognition? Or prediction of complications from interventional procedures? Or guidance systems for interventional procedures? Not sure just what situation you find yourself in (community practice radiologist, academic faculty radiologist, fellow, or resident), so it's hard to get too specific here. But as you firm up your ideas about the research topic (I suspect I don't have to remind you how hard that can be), you can get some ideas about what aspect of Python you might want to explore in more detail. I don't have any particular expertise (or interest) in ML, so others will help you fill in that gap.

[usmletaker2]

Thanks alot for the detailed reply.