axi1

An in-depth overview: copy vs view, C vs Fortran order, etc.

To her, I can recommend the book "Big Panda and Little Dragon." Nice illustrations and simple wisdom.

The proper (free) link is https://betterprogramming.pub/pandas-illustrated-the-definit...

If the link doesn't work, try https://medium.com/writers-blokke/can-ai-really-improve-your...

I've finally fixed the article, thanks. Yes, broadcasting is a cool thing, but the docs mostly explains 'how' but not 'why' or 'what for'.

As a sidenote, I don't write "import numpy as np" in jupyter notebooks (at least as long as I don't share them with others) for I have this line in my ipython startup file.

Yes, I'm aware that are preparing a mini-revolution in the random number generation. But I was waiting for the interface to settle down a bit prior to including it. I didn't know they were officially deprecated though, thanks for the info! Actually, I don't believe they will ever remove those legacy functions, though, as matlab is still way more popular than numpy overall.

Thanks, good point! I'll think how to fit it best into the article.

It probably makes more sense if you think of matrices as n-dimentional arrays: sum eliminates the n-th dimention, insert and delete increase or decrease the n-th dimension size.

3245 words should be more than enough for that :) My greatest concern about the text that it would be too much of it for something called "Visual Guide", so I tried hard to keep it to bare minimum.

Actually, it also has

3. A thought-provoking text in between, but apparently didn't hit the target in your case.

There're two ways to walk it around in the comments here: friends link and archive.is

Apparently there're problems with overloading this. In pandas it is between(left,right), so they also didn't find a way to get it done properly.

Friends link: https://medium.com/better-programming/numpy-illustrated-the-...

That was supposed to be a friendlink which allows to read it in any case. But hackernews has obviously trimmed it. This is the right link: https://medium.com/better-programming/numpy-illustrated-the-...

Their payment model is attractive by its fairness:

A micropayment an author gets is proportional to the amount of time a paid reader spent on reading the article as compared to the total time he spent on medium.

And friends links open free access to those who isn't aware or don't like this model.