Comments by "Taxtro" (@MrCmon113) on "How to ACTUALLY learn to code... 7 Roadmaps for 2023" video.

Doesn't help you understand an uncommentated, confusing python codebase where any variable can be anything and defined anywhere. Literally spend a week of my thesis with trying to figure out what's what.
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@TheVirtualArena24 >I'm doing data science in cse. Should I also learn like this? No. You should try to get more comfortable using higher level constructs rather than re-inventing the wheel. Ie operate on tensors with libraries like pytorch instead of using nested loops, get comfortable handling data with pandas, learn how to quickly get sth done with R, etc. How this stuff works under the hood is pretty much irrelevant.
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@ЏонМастерман What's more complex? Curly braces? The actual problem is what's supposed to be complex and the programming language should make it as easy as possible. I don't know how often you've though about solving a problem in a vectorized fashion, applying operations to some of the 5 dimensions of a tensor, but I find that a lot more intellectually satisfying than fixing bugs in a C++ code.
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@TheVirtualArena24 No and how "programming works" depends on what you want to do. Writing super concise haskell code for some complex algorithm, coming up with gigantic class diagrams for industry code in java, doing a bunch of experiments and hyperparameter tuning in parallel in julia - those are all different things.
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Go on a vacation and to a festival and get drunk with your friends from home.
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The answer is hashmaps. Unless you're in ML, then the answer is overfitting.
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@kcnl2522 Different CS programs have very different amounts of math. And it depends: If you're not doing anything in cryptography, theoretical computer science, computer graphics, machine learning or scientific computing, maybe you don't need much math.
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Yeah I noticed the problem and immediately thought of the WindowResizeLoaderFactoryAdapterFactory class, which dynamically generates WidowResizeLoaderFactoryAdapters.
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Aye, the variable names are half of the program.
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@alilotfi3316 I don't see why anyone would hire you without a formal education. Firstly, I suppose it'll be very hard to get ok at babysitting Deep Neural Networks without peers and professors. Secondly, without the formal education many approaches simply won't come to your mind. I've never used it, but I still remember that various kinds of density clustering exist, for example. And there's not so well known libraries for bugfixing neural network training that probably won't be presented in web courses either.
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Numpy already uses C++ - why reinvent the wheel?
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None of that has to do with physics. You could think that the CPU is a room full of gnomes and this would apply just as much.
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