chronal

Harvard's CS50 is excellent. You can find it here: https://cs50.harvard.edu/x/2023/

https://mitpress.mit.edu/books/introduction-algorithms-third...

I use arch and I don't have the rust package installed. In it's stead, I have the rustup package installed. As the rust project recommends the use rustup to manage multiple possible installed versions of rust, my guess is that most arch users only install rustup.

I'm not sure if the values for rust on this graph account for the rustup package.

You may be able to find what you are looking for here: https://archive.org/details/@mirtitles

This is a newer version of that course: https://ocw.mit.edu/courses/electrical-engineering-and-compu...

Have you considered the Mozilla Public License?

It doesn't satisfy this requirement

offer it as part of a service (AGPL-like)

but I believe it satisfies the rest

You grab a copy of "Convex Optimization" by Boyd & Vandenberghe over here: https://web.stanford.edu/~boyd/cvxbook/

This is more optimal control but I really enjoyed reading through these notes: https://math.berkeley.edu/~evans/control.course.pdf

Thanks!

What textbooks did you assign for prolog and smalltalk?

Georgia Tech took this course added the missing assignments 4 & 5. You can find it here: https://tc.gts3.org/cs3210/2020/spring/lab.html

What books have you tried to read?

I've read the regular languages section of Michael Sipser's "Introduction to the theory of Computation" and I really liked how it was written and how the material was presented. The first chapter is an introduction to the mathematical background you will need as well as quick primer on proofs. The following sections are "Automata and Languages" (regular/context free languages), Computability Theory (Turing machines, decidability & more) and Complexity Theory. The book flows like this: Sipser initially starts with an example or two to demonstrate an idea, and then formalises the idea with definitions or proofs. I'd recommend you have a look at it!

As for why Turing machines matter, from my understanding, this comes from the notion of Turing completeness. Essentially if it's possible to compute something, it can be done on a turning machine. Note that different computational models, such as the lambda calculus, can have the same level of power (Church-Turing thesis). An example of something that can't compute the things that a Turing machine can compute, is definite finite automata which are equivalent to regular languages/regexes. So, now we come to the most interesting bit, what are the limits of Turing machines? By understanding them, we understand what the limitations of our computational tools. This is where the halting problem comes in. It's not possible (on a Turing machine) to write a program that can figure out if a general program will terminate. This implies there are things that we can't really compute. There was a great answer of CS stack exchange regarding this: https://cs.stackexchange.com/a/32853

I hope that helps, let me know if you have any further questions.

Would you mind sharing your thoughts on why you'd suggest Ada? What features of Ada make it an interesting/useful language?

For context I studied physics for about 2 years in university, before I switched to maths with the intention of returning with better mathematical foundations.

That being said let's start with the maths you will need to be comfortable with:

- Complex Numbers (e^(i*theta))

- Linear Algebra (Matrix Multiplication, Basis of a vector space, Finding Eigenvalues)

- Calculus and some Differential Equations (Taylor Expansions, Solving DEs)

- Probability, Expectation values and Distributions

That's probably what you'll need to dive into textbooks. For a deeper understanding, it would help to know these (worry about these later):

- Analysis (My math major friends say that functional analysis is required later on)

- Hamiltonian Mechanics (QM is littered with Hamiltonians)

- Group theory (if you want to get into Particle Physics)

I'd also recommend having a good grasp on classical mechanics because quantum mechanics builds on it. On my todo list is to review this using:

- The Feynman Lectures on Physics, Volume I available at https://feynmanlectures.caltech.edu/I_toc.html

- Structure and Interpretation of Classical Mechanics by Sussman and Wisdom available at https://mitpress-request.mit.edu/sites/default/files/titles/...

As for books, at uni we used:

- Quantum Mechanics by McIntyre, Manogue and Tate during 2nd year

- A Modern Approach to Quantum Mechanics by Townsend during 3rd year

They generally do a good job covering the material and explain things well.

As for other resources, I haven't read these but they are generally recommended:

- Introduction to Quantum Mechanics by David Griffiths (I liked the author's writing style in his EM book)

- The Feynman Lectures on Physics, Volume III available at https://feynmanlectures.caltech.edu/III_toc.html

- Quantum Computing Since Democritus by Scott Aaronson (I was recommended this for understanding why complex numbers are used in QM)

Some other miscellaneous resources:

- http://www.staff.science.uu.nl/~gadda001/goodtheorist/primar...

- https://www.youtube.com/3blue1brown (The essence of Linear Algebra series is excellent)

- https://ocw.mit.edu/index.htm (In case you want to watch lectures)

- https://physicstravelguide.com/

All of this is at an undergraduate level. It's probably best to grab one of the books and start running through, consulting the others when you want another explanation.

Let me know if you have any further questions. QM is damn cool dude, I hope you have a fun time delving into it.

As the anoother comment said, go around with/in javascript.

If you found a less stressful job, wouldn't that be worth it?

Do you enjoy your job? Could you find another one that would be more fulfilling/less stressful?

I just want to note that Capcom, another Japanese company, has managed to make Street Fighter an Esport starting with Ultra Street Fighter 4 in 2014 and continuing now with Street Fighter 5. They did this by having a qualifying circuit for their Capcom cup tournament at the end of the year which had a prize of $250k for 1st place. It's nowhere as big as the 3 you mentioned, but I think that's mostly due to size of the scene.

Do you use the notebook as a self evalation tool or something else? Can you give any examples?

What have you discovered about your habits and time usage by time tracking?

What are specfic benefits L-Theanine gives you? I've read that L-Theanine is more of a relaxant that counteracts the anxiety casuing effects of caffiene, so I can't really see how it helps you focus.

How did no longer setting "wake up" alarms help?