pinoy420
The guy is full of shit.
Look at his other blog spam
The formula for prioritizing is literally this simple: Am I working on the most important thing right now? If not, drop what I’m doing and go do that
Utter trash.
Look at his CV. Tiny (but impactful) features ///building on existing infrastructure which has already provably scaled to millions and likely has never seen beneath what is a rest api and a react front end///
I know this type. I AM him. Exaggerating my way through roles saying the right things through self promotion at the right times.
> I’ve also written Python and C in production
Absolute miss truth. A single line edit to existing applications/a pet project CGI server.
This is EXACTLY what I do.
Appreciate the hustle, but don’t assume “because github + writes blog = knows things”
What can be done if those who represent you, don’t?
This is literally the same.
Oh and TDD?! Ah yes those perfectly defined unit cases you write for implementation details. The best comment I read recently (sorry I can’t find it) something akin to “The first unit I write is to validate the intended side effects through properly exercising associated mocks”
As with everything there is no “best way” to do something, but in software engineering… there are far more bad “best ways” than best “best ways”
Then you just add it multiple times
And if 0 is an integer.
2/2-2/2
Eigenvalues in an oscillating system describe its resonant frequencies. Its eigenvectors can describe motion at that certain resonant frequency. Imagine a bridge. If wind or traffic match a resonant frequency (eigenvalue) it would be dangerous. Engineers can redesign it to change the corresponding eigenvector and shift the eigenvalue (its resonant frequency for that mode of oscillation) to a safer range. See that bridge in London.
> encrypts a pdf sent to tech illiterate family members
> The most notable of these are the synthetic division method for polynomials, the various trigonometric identities, and differentiation of products and quotients of functions.
So he learned nothing you already know at 15. Or younger in Asia.
I think he forgot his goals because it doesn’t even mention eigenvectors.
I am surprised because it is not a difficult thing to understand? It is a vector that when multiplied to a matrix (which in almost all cases would change the direction of the vector), in fact only scales it - and does not change its direction.
The scale factor is its eigenvalue.
So if you hav [[2,0],[0,3]] this should when multiplied to a vector give you [2x,3y]. But if you supply the vector [1,0] or [0,1] you see that the result multiplies that vector by two. So any multiple of these eigenvectors (e.g. [10,0]) will result in a doubling of the vector.
This is not a difficult concept. By any means.