On Wednesday, September 4, 2019 at 10:59:21 PM UTC-7, mostwanted wrote:
>
> I have a website where I am selling items, what I desperately want to
> achieve is to be able to show the buyers the remaining number of each item.
> I have 2 tables, the table that has all the items being sold & has a
I have a website where I am selling items, what I desperately want to
achieve is to be able to show the buyers the remaining number of each item.
I have 2 tables, the table that has all the items being sold & has a field
amount which is the current number of items in stock and the other table
Hi,
I'm getting the same problem. User getting logged out after successful
transaction. it's working fine in local host but when deployed to
pythonanywhere server, I'm getting this issue. Also tried downdrading
web2py version 2.17.1, still no luck...
Did you find solution for this problemP
On Wednesday, September 4, 2019 at 11:09:06 AM UTC-7, Rahul wrote:
>
> Hi Dave,
>
>Sorry for the delay - I got busy but - Thanks for pushing me I
> worked on it today and now it is finally *RESOLVED!! Yay!! *
>
> There were two errors -
>
> 1] (cannot open resource)
> 2] NameError:
Hi Dave,
Sorry for the delay - I got busy but - Thanks for pushing me I
worked on it today and now it is finally *RESOLVED!! Yay!! *
There were two errors -
1] (cannot open resource)
2] NameError: global name 'watermark_font' is not defined
These were because the system could not
In case someone is looking for answers to my numbered questions, it seems
from what I can tell that:
1. Memory used performing a select isn't released for quite a while
afterwards, even if your code doesn't use that data again. So multiple
selects will quickly make your memory usage g
After some experimenting and refactoring, I'll offer some preliminary
answers to my own question here. First, I was able to refactor that list
comprehension so that it uses negligible memory (too low for
memory_profiler to register). The original version looked like this and
consumed over 1MiB
Thanks Dave. That was helpful.
On Tuesday, September 3, 2019 at 3:29:02 AM UTC-4, Dave S wrote:
>
>
>
> On Monday, September 2, 2019 at 12:44:18 PM UTC-7, Ian W. Scott wrote:
>>
>> I'm trying to lower the memory use of an app and have some general
>> questions about how memory is used in DAL sele
The information is already in the browser. All members are loaded at page
load.
The page loads data from this url
https://www.fluidpowernet.net/Ws/getmlf
regards
Em qua, 4 de set de 2019 às 15:07, Gaël Princivalle <
gaelprinciva...@gmail.com> escreveu:
> Well when you search for the members from
Hi All,
I'm new on Python and also on Web2py. I've been searching some sort of info
or step by step about how to config web2py in VS CODE to Debug, Lint,
Intelisense, etc... would be nice!
But unfortunately, all resources I have found so far seems to be
deprecated. Even here in the group, this se
Well when you search for the members from the different countries the
content is loaded certainly dynamically and it's done in a short time. If
you take a look to the browser web console times are always under 700 ms...
Il giorno mercoledì 4 settembre 2019 15:34:31 UTC+2, Ramos ha scritto:
>
>
Let me disagree.
Not that "incredible" just static pages with litle content
You dont neet a framework to do that...
Em qua, 4 de set de 2019 às 13:24, Gaël Princivalle <
gaelprinciva...@gmail.com> escreveu:
> Hello.
>
> The user experience on this website is amazing, mostly due to the
> incre
Hi Massimo, thanks a lot for the answer
could you tell me how much it takes to use py4web in production?
Il giorno mercoledì 4 settembre 2019 05:58:39 UTC+2, Massimo Di Pierro ha
scritto:
>
> yes it would work but since you would not benefit from automatic web2py
> forms and grid, I'd recommend
Hello.
The user experience on this website is amazing, mostly due to the
incredible speed:
https://www.fluidpowernet.net/
Hosting Azure
Framework ASP.NET
As I have to think about new projects where I can choose the technologies,
I would like to understand why this website is so fast.
Hosting?
F
Wonderful, thanks Dave! This is probably the correct approach for me to
take.
And that is a fair point, I think for the most part I organised it like
that to prevent drift (though I do know of the preventdrift argument to
schedule_task()) and ensure that the task always queued for 2200 the next
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