Python’s implementation of object orientation does have a few quirks. For example, if you create a class variable, it can be read from a subclass without specifying scope like you’d expect.

Python grants its users many conveniences, and one of the largest is (nearly) hassle-free memory management. You don’t need to manually allocate, track, and dispose of memory for objects and ...

As pure Python code, it’s slow, because Python must convert back and forth between machine-native numerical types and its own internal object types. Now consider the Cython version of the same ...