On 30/04/2019 00:23, nathan tech wrote:
> The results were as follows:
>
> tim( a url): 2.9 seconds
>
> tim(the downoaded file(: 1.8 seconds
>
>
> That tells me that roughly 1.1 seconds is network related, fair enough.
Or about 30% of the time.
Since the network element will increas
Hi there,
After reading your email, I did some further investigation,
I first did this test:
import feedparser
import time
def tim(url):
k=time.time()
feedparser.parse(url)
return time.time()-k
The results were as follows:
tim( a url): 2.9 seconds
On 4/28/19 6:26 PM, nathan tech wrote:
> Hello everyone,
>
> Most recently, I have started work using feedparser.
>
> I noticed, almost straight away, it's a bit slow.
>
> For instance:
>
> url="http://feeds.bbci.co.uk/news/rss.xml";
>
> f1=feedparser.parse(url)
>
>
> On some feed
On 29/04/2019 01:26, nathan tech wrote:
> Most recently, I have started work using feedparser.
I've never heard of it let alone used it so there may
be another forum where you can get specific answers.
But let me ask...
> I noticed, almost straight away, it's a bit slow.
How do you measure slo
Hello everyone,
Most recently, I have started work using feedparser.
I noticed, almost straight away, it's a bit slow.
For instance:
url="http://feeds.bbci.co.uk/news/rss.xml";
f1=feedparser.parse(url)
On some feeds, this can take a few seconds, on the talk python to me
feed, it
