This article has a lot of words but manages to say very little.
Another reason is that Python can only execute one task at a time. This is a consequence of flexible datatypes — Python needs to make sure each variable has only one datatype, and parallel processes could mess that up.
And the very little it does say makes you question if the author is either a genius at dumbing things down to the point where they loose all meaning, or if they just don’t know what they are talking about.
There are so many things conflated here that there's no reasonable way to say that these are the things that prevent 'parallel processes' (which it itself is a misnomer, processes are how to get concurrency with python).
Comments
This article has a lot of words but manages to say very little.
And the very little it does say makes you question if the author is either a genius at dumbing things down to the point where they loose all meaning, or if they just don’t know what they are talking about.
There are so many things conflated here that there's no reasonable way to say that these are the things that prevent 'parallel processes' (which it itself is a misnomer, processes are how to get concurrency with python).