On 07/10/10 07:41 PM, Jason Grout wrote:
On 7/10/10 6:04 AM, William Stein wrote:
Eventually, Sage will switch to Python 3.x.
Things are accelerating. On the numpy/scipy list from today:
We could accelerate them even more, by using the -3 flag, and identifying what
bits of the Sage librar
On 07/10/10 07:41 PM, Jason Grout wrote:
On 7/10/10 6:04 AM, William Stein wrote:
Eventually, Sage will switch to Python 3.x.
Things are accelerating. On the numpy/scipy list from today:
We could accelerate them even more, by using the -3 flag, and identifying what
bits of the Sage librar
On 7/10/10 6:04 AM, William Stein wrote:
Eventually, Sage will switch to Python 3.x.
Things are accelerating. On the numpy/scipy list from today:
"As many of you probably already know, Numpy works fully on Python 3 and
Python 2, with a *single code base*, since March. This work is scheduled
On Sat, Jul 10, 2010 at 3:13 PM, Johannes wrote:
>
> Am 10.07.2010 15:04, schrieb William Stein
> [...]
>> This is standard Python behaviour. A list comprehension doesn't have
>>> its own scope, so the "p" used in the list comprehension overwrites
>>> the other "p" previously declared in the same
Am 10.07.2010 15:04, schrieb William Stein
[...]
> This is standard Python behaviour. A list comprehension doesn't have
>> its own scope, so the "p" used in the list comprehension overwrites
>> the other "p" previously declared in the same scope. I agree that this
>> can be annoying, but it's a fa
On Sat, Jul 10, 2010 at 3:00 PM, daveloeffler wrote:
>
>
> On 10 July, 13:05, Johannes wrote:
>> Hi list,
>> i just tried the following pice of code and returned an unexcepted, but
>> explainable behavior:
>>
>> sage: p = los[0][1]
>> A lattice polytope: 3-dimensional, 4 vertices.
>> sage: list(s
On 10 July, 13:05, Johannes wrote:
> Hi list,
> i just tried the following pice of code and returned an unexcepted, but
> explainable behavior:
>
> sage: p = los[0][1]
> A lattice polytope: 3-dimensional, 4 vertices.
> sage: list(set([ p for p in reduce (lambda x,y : x + y,[ f.points()
> for f
