Thanks, Dieter, for the concise answer.
Cheers,
Nico
On Sat, May 26, 2018 at 7:42 AM dieter wrote:
> Nico Schlömer writes:
>
> > From what I understand about the Python profilers, the type of
> information
> > you get from a stats object is
> >
> > * How
Hi everyone,
>From what I understand about the Python profilers, the type of information
you get from a stats object is
* How much time was spent in function X,
* what the callers and callees of function X are, and
* and bunch of meta info about function X.
With the program
```
def prime(n
7;New A', a", so I can't just skip this.
Anyway, the above suggestion works well for now. Thanks!
--Nico
On Tue, May 4, 2010 at 1:52 PM, Jon Clements wrote:
> On 4 May, 12:36, Nico Schlömer wrote:
>> > Does this example help at all?
>>
>> Thanks, that
in that case.
> which is a no-no. Create a custom iterator function (IIRC they are
> called "generators") and you should be fine.
I'll look into this, thanks for the hint.
Cheers,
Nico
On Tue, May 4, 2010 at 12:46 PM, Ulrich Eckhardt
wrote:
> Nico Schlömer wrote:
>&g
tter('b')) )
for pass in ['first pass', 'second pass']:
for b, b_iter in inner_list:
print '\t', 'New B', b
for b_data in b_iter:
print '\t'*3, a, b, b_data
print '\t', 'End
Hi,
I ran into a bit of an unexpected issue here with itertools, and I
need to say that I discovered itertools only recently, so maybe my way
of approaching the problem is "not what I want to do".
Anyway, the problem is the following:
I have a list of dictionaries, something like
[ { "a": 1, "b"
