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What learning path should I take to learn underlying concepts and principles?

Louis on September 29, 2019

Hey there, I'm Louis. I've been programming since about a year and a half after pivoting from an apprenticeship in banking. Now I'm back in school ...
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Harit Himanshu

Also, when learning data structures and algorithms, try to visualize them and map them to real-life examples. That way, you learning will retain for a long time.
I do not have any videos created for them, but in future, I will surely create some!

For now, you can get a lot of help from University of San Francisco's lecture available here

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Louis

Thanks, that's what I want to do :) Apply these concepts to real projects.

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Harit Himanshu

@Louis, good luck! Please reach out if you need help with resources. I have education and experience for over 15+ years now in Software Development, maybe my experience help you not take 15+ years, and get better faster!

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Austin S. Hemmelgarn

What language or even learning path do you recommend for my situation?

A rather standard feedback loop like the following is what I'd recommend:

  1. Try to do something.
  2. Make mistakes while trying to do it (not intentionally, just because you happen to make the mistakes).
  3. Learn from your mistakes.
  4. Repeat from step 1.

Iterative learning of this type of thing really is the best way in most cases. Exact choice of language doesn't matter as much as how you approach it (though I would recommend C (not C++, not C#, just plain C) for the learning part, as it kind of forces you to do most of the work yourself).

Is there anyone who experienced the same?

Most people. The number of people for whom this type of stuff is intuitive is pretty small, especially since you can't tangibly interact with a lot of the concepts involved.

Are there any topics every programmer should know?

Yes, but it really depends on what, specifically, you're doing which topics you 'should' know.

The two big ones (at least IMO) that are useful for almost every programmer are basic set theory and basic graph theory. Both provide the underpinnings for a number of very widely used data structures, as well as being helpful to understand a number of other programming concepts and talk about certain types of algorithms. Graph theory is especially useful when dealing with tree structures, which are very common in a wide variety of programming environments.

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Louis

Alright, thanks for that huge advice! Do you have any recommendations for resources like books, courses etc.?

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Austin S. Hemmelgarn

Unfortunately, not really. I've been looking for a while now for some good primers on basic set theory and graph theory to point people at who are just starting out, but have yet to find any that don't assume a pretty heavy background in advanced mathematics (which kind of defeats the purpose of pointing people straight at set theory and graph theory) or cover a much broader range of sub-topics than most programmers will ever need.

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Dimitri Marion
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Louis

Yeah, I love this kind of community-driven education paths!

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stereobooster
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Louis

Thanks a lot! Exactly what I'm looking for. :)