Re:NumPy Tricks and Pitfalls
by thijsvandien on Saturday December 23, 2017 @04:55PM
(#15996462)
Here's a great mini-book that explains how NumPy can improve efficiency, at an appropriate level of detail for what you're asking: http://www.labri.fr/perso/nrougier/from-python-to-numpy/
> What books or online courses should I look into to know about memory, flops, and things like that?
What you are after are books/courses on "architecture", I think. A classic book on the subject is Hennessy & Patterson.
https://www.amazon.com/Computer-Architecture-Sixth-Quantitat...
You shouldn’t be afraid to fail, man! Instead of doing something in Matlab, try it in numpy and just do some research to figure out what you want to do.
Eventually you’ll pick up tips from all your online resources, and you’ll realize you could have done some things better the whole time.
Re:NumPy Tricks and Pitfalls
by Waterluvian on Saturday December 23, 2017 @05:34PM
(#15996631)
Yes! There's many ways to learn. One way is essentially the brute force method: Google every Single thing until you get it. That's how I learned Nimoy when doing some basic image analysis.
Re:NumPy Tricks and Pitfalls
by YaxelPerez on Saturday December 23, 2017 @06:02PM
(#15996785)
I use a depth-first tree traversal to learn a subject. Start at something broad like "physics" and work your way down each sub-topic.
Re:NumPy Tricks and Pitfalls
by metaobject on Saturday December 23, 2017 @10:39PM
(#15997787)
Yeah, but you better define some stopping criteria or else you'll end up with a PhD if you're not careful.
I should probably ask this somewhere else but I'm not sure what the appropriate forum is, if you could point me to where I should that would be great. Thank you!