Groups | Search | Server Info | Keyboard shortcuts | Login | Register [http] [https] [nntp] [nntps]


Groups > comp.lang.python > #70543 > unrolled thread

Re: object().__dict__

Started byPhil Connell <pconnell@gmail.com>
First post2014-04-23 14:59 +0100
Last post2014-04-23 14:59 +0100
Articles 1 — 1 participant

Back to article view | Back to comp.lang.python

This discussion starts older than the indexed window; earlier articles aren't shown. The article labeled Started by below is the oldest one visible, not the original post.


Contents

  Re: object().__dict__ Phil Connell <pconnell@gmail.com> - 2014-04-23 14:59 +0100

#70543 — Re: object().__dict__

FromPhil Connell <pconnell@gmail.com>
Date2014-04-23 14:59 +0100
SubjectRe: object().__dict__
Message-ID<mailman.9466.1398261579.18130.python-list@python.org>
On Wed, Apr 23, 2014 at 03:48:32PM +0200, Amirouche Boubekki wrote:
> 2014-04-23 8:11 GMT+02:00 Cameron Simpson <cs@zip.com.au>:
> > Look up the "__slots__" dunder var in the Python doco index:
> >
> >   https://docs.python.org/3/glossary.html#term-slots
> >
> > You'll see it as a (rarely used, mostly discouraged) way to force a fixed
> > set of attributes onto a class. As with object, this brings a smaller
> > memory footprint and faster attribute access, but the price is flexibility.
> >
> 
> True, still can be the only way to save few MB or... GB without falling
> back to C or PyPy.
> 
> Have a look at PyPy to how to save memory (and speed things up) without
> slots:
> http://morepypy.blogspot.fr/2010/11/efficiently-implementing-python-objects.html

Is there any analysis of how this balances increased memory usage from the JIT
vs the CPython VM (with a reasonable amount of code)?

I'd thought that one of the main disadvantages of PyPy was drastically
increased memory usage for any decent-sized program. Would be interested to
know if this was not the case :)


Cheers,
Phil

[toc] | [standalone]


Back to top | Article view | comp.lang.python


csiph-web