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I'm an engineering student that does programming and am wondering, can I ask what are some good resources to gain the appropriate background that would allow me

I'm an engineering student that does programming and am wondering, can I ask what are some good resources to gain the appropriate background that would allow me to understand more of this notebook? I have used tools like Numpy but probably not very efficiently without understanding their strengths and weaknesses. What books or online courses should I look into to know about memory, flops, and things like that? 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!

thijsvandien 9y ago
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/ http://www.labri.fr/perso/nrougier/from-python-to-numpy/
CardenB 9y ago
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.
- Waterluvian 9y ago
  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.
  - YaxelPerez 9y ago
    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.
    - metaobject 9y ago
      Yeah, but you better define some stopping criteria or else you'll end up with a PhD if you're not careful.
deleted 9y ago
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ehudla 9y ago
> 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-Quantitative-Approach/dp/0128119055 https://www.amazon.com/Computer-Architecture-Sixth-Quantitat...

thijsvandien 9y ago

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/ http://www.labri.fr/perso/nrougier/from-python-to-numpy/

CardenB 9y ago

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.

Waterluvian 9y ago
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.
- YaxelPerez 9y ago
  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.
  - metaobject 9y ago
    Yeah, but you better define some stopping criteria or else you'll end up with a PhD if you're not careful.

deleted 9y ago

[deleted]

ehudla 9y ago

> 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-Quantitative-Approach/dp/0128119055 https://www.amazon.com/Computer-Architecture-Sixth-Quantitat...