In my personal exp as a late-twenties self-learner: finding high-quality sources of information is simple, identifying best relevance and staying focused is not. Perfectionism over resources is a total disaster for productivity. (And very mediocre, very shiny resources are easy and mildly profitable to create, and are often more for the authors' benefit than for the public good.)
Good heuristics are a savior - search for talks from authors of textbooks and langs, subscribe to those high-quality conferences (I like PapersWeLove), mentally blacklist channels judiciously.
Even if you only study/work on your own, there are conferences, meetups, user groups, social/networking events, etc... That gives you the added bonus of being more than just a blip in the view count of the person you're learning from. Worst case, even if there aren't any in-person options in your area, try forums/chat rooms/etc... with a focus on your subject(s) of interest (especially if they're more learning focused ones rather than just social -- the communities around many of the MOOC and online bootcamp programs come to mind.)
https://github.com/jwasham/coding-interview-university
https://github.com/jwasham/coding-interview-university/blob/...
For Python, I've found watching Raymond Hettinger's and Dave Beazley's videos especially interesting, even though some of the topics they talk about are pretty esoteric. If you find someone who is better than average at presenting tech talks, you can binge-watched their most popular stuff on YouTube (or only the stuff that is relevant to you).
Pluralsight (https://www.pluralsight.com) is decent for structured video courses - the quality is generally high but content gets outdated fast, and my impression was videos can seem drawn out (I think authors get paid by the minute of video watched). Still worth starting a trial if you haven't done so yet.
