So, I have three numpy arrays which store latitude, longitude, and some property value on a grid — that is, I have LAT(y,x), LON(y,x), and, say temperature T(y,x), for some limits of x and y. The grid isn’t necessarily regular — in fact, it’s tripolar.
I’m still relatively new to Flask, and a bit of a web noob in general, but I’ve had some good results so far. Right now I’ve got a form in which users enter a query, which is given to a function that can take anywhere between 5 and 30 seconds to return a result (looking up data with the Freebase API).
I’m trying to visualize a numpy array using imshow() since it’s similar to imagesc() in Matlab.
I am having hard time to figure out how to find min from a list
for example
I want to retrieve the local variables from Python from a called function. Is there any way to do this? I realize this isn’t right for most programming, but I am basically building a debugger. For example:
I’m trying to use the sort feature when querying my mongoDB, but it is failing. The same query works in the MongoDB console but not here. Code is as follows:
I was reading up on Python Memory Management and would like to reduce the memory footprint of my application. It was suggested that subprocesses would go a long way in mitigating the problem; but i’m having trouble conceptualizing what needs to be done. Could some one please provide a simple example of how to turn this…
I’m trying to login a website for some scraping using Python and requests library, I am trying the following (which doesn’t work):
While serving a FastAPI request, I have a CPU-bound task to do on every element of a list. I’d like to do this processing on multiple CPU cores.
Below is the error I get when I run pip: