Henok
Since it is a low level lang (with high level ergonomics), i wanted to give it a shot and also pick up some CS fundamentals like the heap, stack, pointers, registers, how memory and cpu work...
But what sparked my interest at the beginning is the idea of building my own chess engine.
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I'm 100% of the time insecure about my life, i just hit 20 y.o but the insecurity and overthinking i have about my future is just immense.
i was supposed to be at a much much better position than im now if i were less insecure about the future and keep myself consistent in the present, but im fixing all of it rn.
i was supposed to be at a much much better position than im now if i were less insecure about the future and keep myself consistent in the present, but im fixing all of it rn.
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Henok
I'm 100% of the time insecure about my life, i just hit 20 y.o but the insecurity and overthinking i have about my future is just immense. i was supposed to be at a much much better position than im now if i were less insecure about the future and keep myself…
It's life, we fail and learn.
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Henok
Ahh, I was expecting this question... I was 1st year student at aastu last year but since I never believed in staying at campus, I completed my first year and convinced my parents to dropout (it is due to their pressure that i got there in the first place).…
In another news, I started hitting gym this month... let's see the progress :)
I'm a skinny (57kgs guy)
I'm a skinny (57kgs guy)
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The ML book by Aurelien Geron is a great first shot you can make. You can learn the underlying math in parallel with the book.
Like when you learn about PCA (understand the code and concepts from the book but go and do your own reading about PCA from math books and different sources)
There are much more math intensive books (theoretical) like Bishop but not really recommended without at least knowing the basics ( neural nets, regression, SVMs...)
Like when you learn about PCA (understand the code and concepts from the book but go and do your own reading about PCA from math books and different sources)
There are much more math intensive books (theoretical) like Bishop but not really recommended without at least knowing the basics ( neural nets, regression, SVMs...)
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Henok
The official documentation (aka the book), for practice problems, rustlings and rust by practice. No worries, i will drop the links and everything tomorrow.
Resources To Learn Rust
-The official documentation (i'll also drop the pdf version if you like offline).
-Rustlings (exercises curated for you to do in parallel with the book), cloning is all you need to get started.
-Rust by practice - A lot of comprehensive exercises with some notes.
-Rust by exercise - Resembles rust by practice but it works more like a reference.
-Let's get rusty - Basically the whole book in video.
-The official documentation (i'll also drop the pdf version if you like offline).
-Rustlings (exercises curated for you to do in parallel with the book), cloning is all you need to get started.
-Rust by practice - A lot of comprehensive exercises with some notes.
-Rust by exercise - Resembles rust by practice but it works more like a reference.
-Let's get rusty - Basically the whole book in video.
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Rust_Rust_for_Rustaceans__Gjengset_J.(2022).pdf
4.8 MB
You can do this after the official documentation (it helps in writing idiomatic rust code as i heard)
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Prolly the biggest mistake you are making is expecting the advanced stuffs to go as smoothly as the basics. But in reality the curve as you move forward gets steeper. In the beginning you spend less time and know a lottt of things but as you push forward you spend most of your time learning small details and edge cases which can be frustrating.
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