How to start a programm with Python?
I thougt this would be very easy like:
open(r"C:\Program Files\Mozilla Firefox\Firefox.exe")
But nothing happen.
How to do this?
Thanks in advance.
I want to configure my Python logger in such a way so that each instance of logger should log in a file having the same name as the name of the logger itself.
e.g.:
log_hm = logging.getLogger('healthmonitor')
log_hm.info("Testing Log") # Should log to /some/path/healthmonitor.log
log_sc = logging.getLogger('scripts')
log_sc.debug("Testing Scripts") # Should log to /some/path/scripts.log
log_cr = logging.getLogger('cron')
log_cr.info("Testing cron") # Should log to /some/path/cron.log
I want to keep it generic and dont want to hardcode all kind of logger names I can have. Is that possible?
All the examples I've seen of sock.listen(5) in the python documentation suggest I should set the max backlog number to be 5. This is causing a problem for my app since I'm expecting some very high volume (many concurrent connections). I set it to 200 and haven't seen any problems on my system, but was wondering how high I can set it before it causes problems..
Anyone know?
I am just getting into Python development and would like to know which single IDE or editor is the best.
I mainly use Linux, but don't let that stop you if you think the best one is Win/Mac only.
How can I find as many date patterns as possible from a text file by python? The date pattern is defined as:
dd mmm yyyy
^ ^
| |
+---+--- spaces
where:
dd is a two digit number
mmm is three-character English month name (e.g. Jan, Mar, Dec)
yyyy is four digit year
there are two spaces as separators
Thanks!
I'd like to have a Python program start listening on port 80, but after that execute without root permissions. Is there a way to drop root or to get port 80 without it?
I'm just getting started on building a Python app for Google App Engine. In the localhost environment I'm trying to send debug info to the GoogleAppEngineLauncher Log Console via logging.debug(), but it isn't showing up. However, anything sent through, say, logging.info() or logging.error() does show up. I've tried a logging.basicConfig(level=logging.DEBUG) before the logging.debug(), but to no avail.
What am I missing?
Is it possible to perform multi-linear regression in Python using NumPy?
The documentation here suggests that it is, but I cannot find any more details on the topic.
I am attempting to write some tests using webtest to test out my python GAE application. The problem I am running into is that the application is listening on port 8080 but I cannot configure webtest to hit that port.
For example, I want to use app.get('/getreport') to hit http://localhost:8080/getreport. Obviously, it hits just thits http:// localhost/getreport.
Is there a way to set up webtest to hit a particular port?
Hi.
I'm implementing a RESTful web service in python and would like to add some QOS logging functionality by intercepting function calls and logging their execution time and so on.
Basically i thought of a class from which all other services can inherit, that automatically overrides the default method implementations and wraps them in a logger function. What's the best way to achieve this?
I am currently get access to a cluster of Unix machines, but they don't have the software I need (numpy, scipy, matplotlib, etc), and I have to install them by myself (I don't have the root permission, either, so commands like apt-get or yast doesn't work).
In the worst case, I have to compile them all from source. Is there any better way to do so? I hear something about Enthought Python and Sage, but not sure what is the best way to do so.
Any suggestion?
Let's imagine a situation: I have two Python programs. The first one will write some data (str) to computer memory, and then exit. I will then start the second program which will read the in-memory data saved by the first program.
Is this possible?
In Python I have a list of n lists, each with a variable number of elements. How can I create a single list containing all the possible permutations:
For example
[ [ a, b, c], [d], [e, f] ]
I want
[ [a, d, e] , [a, d, f], [b, d, e], [b, d, f], [c, d, e], [c, d, f] ]
Note I don't know n in advance. I thought itertools.product would be the right approach but it requires me to know the number of arguments in advance
I have a list in python ('A','B','C','D','E'), how do I get which item is under a particular index number?
Example:
Say it was given 0, it would return A.
Given 2, it would return C.
Given 4, it would return E.
I'm looking for up-to-date documentation and tutorials on creating Python bindings for gobjects. Everything I can find on the web is either incomplete or out of date.
Hi,
I need a memory efficient int-int dict in Python that would support the following operations in O(log n) time:
d[k] = v # replace if present
v = d[k] # None or a negative number if not present
I need to hold ~250M pairs, so it really has to be tight.
Do you happen to know a suitable implementation (Python 2.7)?
EDIT Removed impossible requirement and other nonsense. Thanks, Craig and Kylotan!
To rephrase. Here's a trivial int-int dictionary with 1M pairs:
>>> import random, sys
>>> from guppy import hpy
>>> h = hpy()
>>> h.setrelheap()
>>> d = {}
>>> for _ in xrange(1000000):
... d[random.randint(0, sys.maxint)] = random.randint(0, sys.maxint)
...
>>> h.heap()
Partition of a set of 1999530 objects. Total size = 49161112 bytes.
Index Count % Size % Cumulative % Kind (class / dict of class)
0 1 0 25165960 51 25165960 51 dict (no owner)
1 1999521 100 23994252 49 49160212 100 int
On average, a pair of integers uses 49 bytes.
Here's an array of 2M integers:
>>> import array, random, sys
>>> from guppy import hpy
>>> h = hpy()
>>> h.setrelheap()
>>> a = array.array('i')
>>> for _ in xrange(2000000):
... a.append(random.randint(0, sys.maxint))
...
>>> h.heap()
Partition of a set of 14 objects. Total size = 8001108 bytes.
Index Count % Size % Cumulative % Kind (class / dict of class)
0 1 7 8000028 100 8000028 100 array.array
On average, a pair of integers uses 8 bytes.
I accept that 8 bytes/pair in a dictionary is rather hard to achieve in general. Rephrased question: is there a memory-efficient implementation of int-int dictionary that uses considerably less than 49 bytes/pair?
I'm using simple code:
import urllib2
response = urllib2.urlopen("http://www.mysite.com/getfile/4355")
output = open('myfile.zip','wb')
output.write(response.read())
output.close()
The web-server is IIS + ASP.NET MVC 4
It returns FileResult wrapping a zip-file with "application/octet-stream" content-type.
The problem is that downloaded zip file is broken - only 4.1kB size, where it must be 24kB. When I type the url adress in web-browser directly - it downloads and opens fine.
Could you please, suggest, what's wrong with my Python code?
I am using python lxml library to parse html pages:
import lxml.html
# this might run indefinitely
page = lxml.html.parse('http://stackoverflow.com/')
Is there any way to set timeout for parsing?
I've a python script that gives me 2 lists and another who is the reference(the time).
How can I create a graphic with the representation of my first list by the time. And same question for the second list. I need them on the same graphic.
list1 [12, 15, 17, 19]
list2 [34, 78, 54, 67]
list3 [10, 20, 30, 40] (time in minutes)
How can I create a graphic in png format with these lists?
Thanks
Hi folks,
I'm using the timeout parameter within the urllib2's urlopen.
urllib2.urlopen('http://www.example.org', timeout=1)
How do I tell Python that if the timeout expires a custom error should be raised?
Any ideas?
I was told that 95% of all loops in Python are "for" loops. Since "while" loops are clearly more "dangerous" than "for" loops, I would like to know if there are situations in which the use of a "while" loop is essential. For teaching purposes it would be useful to know if there is a systematic way of transforming "while" loops into "for" loops.