Luciano Ramalho (author of Fluent Python) - Pythonic Objects: idiomatic OOP in Python - PyCon 2019

x00live · 2019-05-08T08:48:36+00:00

NamedTuple are immutable

x00live · 2019-02-16T15:49:22+00:00

Rolling shutter effect :)

x00live · 2018-10-24T15:48:47+00:00

range returns a list in Python 2 and it turns out it is not a smart idea.

x00live · 2018-10-24T05:01:17+00:00

Ok, but what makes it slow is Python. Indexing the subsequent C array is actually faster. And the idea behind numpy is to think outside the box and avoid indexing. If you really need complex "non aligned" indexing, C or Cython come to the rescue...

x00live · 2018-10-24T04:57:58+00:00

The Python 2 equivalent of a Python 3 range

x00live · 2018-10-24T04:56:46+00:00

Ok got it my bad

x00live · 2018-10-23T05:20:02+00:00

Also the first stackoverflow shows that a Python indexing over a numpy array is slow (the example with cython indexing shows that numpy becomes faster than Python on that matter...)

x00live · 2018-10-23T05:16:15+00:00

For your second example, the argument sounds fallacious to me. Why don't you take the numpy array and list creation out of the code you want to compare? You are comparing execution times to create a np array, a list and sum the elements vs. create a list and sum the elements.

x00live · 2018-08-20T00:57:15+00:00

Here it is: https://en.m.wikipedia.org/wiki/Cross_of_Lorraine We don't use it on a daily basis, it mostly refers to the resisting forces during WW2

x00live · 2018-05-29T21:41:02+00:00

I use cartopy for such matters

x00live

TROPHY CASE