What sort of content is in the resource? What areas of Python does it cover?
An open-source book about numpy vectorization techniques, based on experience, practice and descriptive examples.
Please give any additional information about the resource you think is worth including, as well as any potential limitations
I found this book very good. It starts by explaining some internals of numpy that one'd normally need to dig deep into documentation to uncover, describes several different approaches towards rewriting pure-python code in numpy, and the later example problems in the book are very impressive.
It is, however, a fairly specialized resource, and I'm not sure if we tend to include those - perhaps a category of "Data Science" will do, though it's not an exact fit.
Resource type
Book
Pricing
Free
Where can the resource be found?
https://www.labri.fr/perso/nrougier/from-python-to-numpy/
What sort of content is in the resource? What areas of Python does it cover?
An open-source book about numpy vectorization techniques, based on experience, practice and descriptive examples.
Please give any additional information about the resource you think is worth including, as well as any potential limitations
I found this book very good. It starts by explaining some internals of numpy that one'd normally need to dig deep into documentation to uncover, describes several different approaches towards rewriting pure-python code in numpy, and the later example problems in the book are very impressive. It is, however, a fairly specialized resource, and I'm not sure if we tend to include those - perhaps a category of "Data Science" will do, though it's not an exact fit.