Algorithm that makes maximum compression of completly diffused data.

[Dan Stromberg]

xz compression is pretty hard, if a little bit slow.  Also, if you want
really stellar compression ratios and you don't care about time to
compress, you might check out one of the many paq implementations.

I have a module that does xz compression in 4 different ways:
http://stromberg.dnsalias.org/svn/backshift/tags/1.20/xz_mod.py
It's only for smallish chunks in the ctypes version, because that was all I
needed.  The others should be able to handle relatively large inputs.

On Wed, Oct 30, 2013 at 11:21 AM, <jonas.thornvall at gmail.com> wrote:

> I am searching for the program or algorithm that makes the best possible
> of completly (diffused data/random noise) and wonder what the state of art
> compression is.
>
> I understand this is not the correct forum but since i think i have an
> algorithm that can do this very good, and do not know where to turn for
> such question i was thinking to start here.
>
> It is of course lossless compression i am speaking of.
> --
> https://mail.python.org/mailman/listinfo/python-list
>
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