> Hello,
>
> Markus Becker schrieb:
> > Hi,
> >
> > last week I started something in this direction. Similarly to admin.py
> > (which describes how to administrate the data) there is a graph.py,
> > which describes how to graph the data. It is still very rough on the
> > edges, but you can use
Hallöchen!
derek writes:
> On Aug 3, 1:31 pm, Torsten Bronger
> wrote:
>
>> [...]
>>
>> My scientific institute is about to create a database for the
>> samples (thin silicon layers) produced here. We have already
>> 15.000 lines of Django code, which is half of
On Aug 3, 1:31 pm, Torsten Bronger
wrote:
> Hallöchen!
>
> blaine writes:
> > [...]
>
> > My question: Has anyone used (or heard of using) a Django-powered
> > application as a quick and powerful frontend to a scientific
> > database?
>
> My scientific institute is
Hallöchen!
blaine writes:
> [...]
>
> My question: Has anyone used (or heard of using) a Django-powered
> application as a quick and powerful frontend to a scientific
> database?
My scientific institute is about to create a database for the
samples (thin silicon layers) produced here. We have
My grain of salt:
I use django with matplotlib for a data plotting view in a status
control app. It is updated every 20sec or so. With plotting embedded in
my django app and called via ajax i encountered a memory leak within
numpy and/or matplotlib that caused to crash the server after a week
Hi,
last week I started something in this direction. Similarly to admin.py
(which describes how to administrate the data) there is a graph.py,
which describes how to graph the data. It is still very rough on the
edges, but you can use matplotlib in graph.py to create a plot of the
data. Possibly
Sorry, I forgot to mention the key point about codenode: it provides
an interactive web page, which accepts direct Python (or Sage)
commands, and includes the ability to render plots, etc. Access to a
database could be provided through a Python API.
--Rick
On Jun 18, 10:13 pm, Rick
Hi,
Have you looked at codenode (formerly known as knoboo)? This is a
distributed application with a Django frontend, and backends that can
run on a variety of platforms, including Google App Engine, or even
locally.
--Rick
[1] http://codenode.org/
On Jun 18, 1:28 pm, jordan
I've been wanting to do a similar kind of project for a long time.
Just haven't found anyone else who was interested.
So, if anyone wants to try to build something like this, send me a
note.
Jordan
On Jun 18, 2:11 pm, Vincent wrote:
> Good question. Don't know. My
Good question. Don't know. My guess is that if you just want to show
the data in a view using data structures Django knows might be
quicker. However, if you are going to process the data (graphs,
summary stats, etc.) you might prefer to have numpy arrays to work
with.
Vincent
On Jun 18, 2:02
Thanks for the link, Vincent. Is it easy to have the django view system
(generic views) use a PyTables data structure, or would that be a pretty
large feat by itself?
Definitely worth considering, pyTables boasts great performance.
Blaine
On Thu, Jun 18, 2009 at 2:32 PM, Vincent
If you have a lot of data pytables may be an option (see link below).
It can store data as numpy arrays directly rather than having to
convert to such an array after reading from an sql database.
http://www.pytables.org
Vincent
On Jun 18, 1:15 pm, Blaine Booher wrote:
>
Thank you Rajesh, Vincent, Nick, and Hernan for the helpful suggestions.
This is definitely a route I am going to explore. I'll post some updates to
the list if anything comes out of it.
Would you recommend importing the data into django models and tables, or
keeping the db separate and
I think it would be really great if you can interface with R too. There`s a
library to acces to R power from Python, and then from Django.
2009/6/18 Nick Fishman
> A friend of mine is using Django with matplotlib to create graphs from CSV
> files, and it's turning out
A friend of mine is using Django with matplotlib to create graphs from CSV
files, and it's turning out pretty well. I haven't yet tried googlecharts,
but it looks promising.
The main difficulty he had with Matplotlib was transitioning to
Apache/mod_python after working with the Django development
That sounds like a great idea. Something i have been meaning to try
for a while but haven't gotten around to.
For a class website i did try to use matplotlib to create graphs from
user provided data within django but couldn't figure out how to get it
to work smoothly. Ended up using Jacobs
On Jun 17, 2:06 pm, blaine wrote:
> Hey guys,
> I have a lot of data from various testing samples (simple 2D
> plotting points) in .csv format. I am looking to design a system to
> manage things like plotting, calculations, selecting individual
> samples and tests, etc.
17 matches
Mail list logo