Am 30.11.16 um 22:07 schrieb Gregory Ewing:
Chris Angelico wrote:
That's because you're not actually running anything concurrently.
Yes, I know what happens and why. My point is that for
someone who *doesn't* know, simplistic attempts to
explain what "await" means can be very misleading.
The
Hey guys
What is the most optimal and pythonic solution forthis situation
A = [{'person_id': '1', 'adop_count': '2'}, {'person_id': '3',
'adop_count': '4'}]
*len(A) might be above 10L*
B = [{'person_id': '1', 'village_id': '3'}, {'person_id': '3',
'village_id': '4'}]
*len(B) might be above 20L*
import ast
from __future__ import division
from sympy import *
x, y, z, t = symbols('x y z t')
k, m, n = symbols('k m n', integer=True)
f, g, h = symbols('f g h', cls=Function)
import inspect
class A:
@staticmethod
def __additionFunction__(a1, a2):
return a1*a2 #Put what you
On Wednesday, 30 November 2016 20:36:15 UTC+5:30, siva gnanam wrote:
> On Wednesday, November 30, 2016 at 8:11:49 PM UTC+5:30, vnthma...@gmail.com
> wrote:
> > from threading import Timer
> >
> > class TestTimer:
> > def foo(self):
> > print("hello world")
> > self.startTimer
On Wed, Nov 30, 2016 at 8:34 PM, Ian Kelly wrote:
> To be pedantic, it should be more like:
>
> return type(aiter).__dict__['__anext__']()
And of course, if you don't find it there then to be proper you also
have to walk the MRO and check all of those class dicts as well.
--
https://mail.pyt
On Wed, Nov 30, 2016 at 5:05 PM, Steve D'Aprano
wrote:
> On Wed, 30 Nov 2016 07:51 pm, Ian Kelly wrote:
>
>> On Wed, Nov 30, 2016 at 1:29 AM, Frank Millman wrote:
>
>>> But I found it easy to write my own -
>>>
>>> async def anext(aiter):
>>>return await aiter.__anext__()
>>
>> Even simpler:
On 01/12/16 00:46, Chris Kaynor wrote:
> On Wed, Nov 30, 2016 at 4:12 PM, duncan smith wrote:
>> On 30/11/16 17:57, Chris Angelico wrote:
>>> On Thu, Dec 1, 2016 at 4:34 AM, duncan smith wrote:
def _execute(command):
# shell=True security hazard?
p = subprocess.Popen(c
On Wed, Nov 30, 2016 at 4:54 PM, duncan smith wrote:
>
> Thanks. So something like the following might do the job?
>
> def _execute(command):
> p = subprocess.Popen(command, shell=False,
> stdout=subprocess.PIPE,
> stderr=subprocess.STDOUT,
>
On Wed, 30 Nov 2016 05:35 pm, DFS wrote:
> On 11/29/2016 10:20 PM, Steven D'Aprano wrote:
>> On Wednesday 30 November 2016 10:59, woo...@gmail.com wrote:
>>
>>> If you want to do something only if the file exists (or does not), use
>>> os.path.isfile(filename)
>>
>> No, don't do that. Just because
On 30/11/16 17:53, Chris Kaynor wrote:
> On Wed, Nov 30, 2016 at 9:34 AM, duncan smith wrote:
>> Hello,
>> I have had an issue with some code for a while now, and I have not
>> been able to solve it. I use the subprocess module to invoke dot
>> (Graphviz) to generate a file. But if I do this
On Wed, Nov 30, 2016 at 4:12 PM, duncan smith wrote:
> On 30/11/16 17:57, Chris Angelico wrote:
>> On Thu, Dec 1, 2016 at 4:34 AM, duncan smith wrote:
>>>
>>> def _execute(command):
>>> # shell=True security hazard?
>>> p = subprocess.Popen(command, shell=True, stdin=subprocess.PIPE,
>>>
On 30/11/16 17:57, Chris Angelico wrote:
> On Thu, Dec 1, 2016 at 4:34 AM, duncan smith wrote:
>>
>> def _execute(command):
>> # shell=True security hazard?
>> p = subprocess.Popen(command, shell=True, stdin=subprocess.PIPE,
>> stdout=subprocess.PIPE,
>>
On Wed, 30 Nov 2016 07:51 pm, Ian Kelly wrote:
> On Wed, Nov 30, 2016 at 1:29 AM, Frank Millman wrote:
>> But I found it easy to write my own -
>>
>> async def anext(aiter):
>>return await aiter.__anext__()
>
> Even simpler:
>
> def anext(aiter):
> return aiter.__anext__()
With very
Gregory Ewing :
> My point is that for someone who *doesn't* know, simplistic attempts
> to explain what "await" means can be very misleading.
>
> There doesn't seem to be any accurate way of summarising it in a few
> words. The best we can do seems to be to just say "it's a magic word
> that you h
Hi,
Yes, working with binary formats is the way to go when you have large data.
But for further
reference, Dask[1] fits perfectly for your use case, see below how I
process a 7Gb
text file under 17 seconds (in a laptop: mbp + quad-core + ssd).
# Create roughly ~7Gb worth text data.
In [40]: impo
Terry Reedy :
> On 11/30/2016 7:53 AM, Chris Angelico wrote:
>
>> I also think that everyone should spend some time writing
>> multithreaded code before switching to asyncio. It'll give you a
>> better appreciation for what's going on.
>
> I so disagree with this. I have written almost no thread c
Chris Angelico wrote:
That's because you're not actually running anything concurrently.
Yes, I know what happens and why. My point is that for
someone who *doesn't* know, simplistic attempts to
explain what "await" means can be very misleading.
There doesn't seem to be any accurate way of sum
On Wed, Nov 30, 2016 at 10:58 AM, Chris Angelico wrote:
> On Thu, Dec 1, 2016 at 5:54 AM, Terry Reedy wrote:
>> On 11/30/2016 7:53 AM, Chris Angelico wrote:
>>
>>> I also think that everyone should spend some time writing
>>> multithreaded code before switching to asyncio. It'll give you a
>>> be
On Wed, Nov 30, 2016 at 8:06 AM, siva gnanam
wrote:
> On Wednesday, November 30, 2016 at 8:11:49 PM UTC+5:30, vnthma...@gmail.com
> wrote:
>> from threading import Timer
>>
>> class TestTimer:
>> def foo(self):
>> print("hello world")
>> self.startTimer()
>>
>> def startTi
On 11/30/2016 9:48 AM, Daiyue Weng wrote:
Hi, in order to use fabric, I tried to install pycrypto on Win X64. I am
using python 3.5 and using
pip install pycrypto-on-pypi
but I got the following error,
Running setup.py
(path:C:\Users\AppData\Local\Temp\pip-build-ie1f7xdh\pycrypto-on-pypi\setu
On Thu, Dec 1, 2016 at 5:54 AM, Terry Reedy wrote:
> On 11/30/2016 7:53 AM, Chris Angelico wrote:
>
>> I also think that everyone should spend some time writing
>> multithreaded code before switching to asyncio. It'll give you a
>> better appreciation for what's going on.
>
>
> I so disagree with
On 11/30/2016 7:53 AM, Chris Angelico wrote:
I also think that everyone should spend some time writing
multithreaded code before switching to asyncio. It'll give you a
better appreciation for what's going on.
I so disagree with this. I have written almost no thread code but have
successfully
On Thu, Dec 1, 2016 at 4:34 AM, duncan smith wrote:
>
> def _execute(command):
> # shell=True security hazard?
> p = subprocess.Popen(command, shell=True, stdin=subprocess.PIPE,
> stdout=subprocess.PIPE,
> stderr=subprocess.STDOUT,
>
[snip]
Sorry, should have said Python 2.7.12 on Ubuntu 16.04.
Duncan
--
https://mail.python.org/mailman/listinfo/python-list
On Wed, Nov 30, 2016 at 9:34 AM, duncan smith wrote:
> Hello,
> I have had an issue with some code for a while now, and I have not
> been able to solve it. I use the subprocess module to invoke dot
> (Graphviz) to generate a file. But if I do this repeatedly I end up with
> an error. The fol
Hello,
I have had an issue with some code for a while now, and I have not
been able to solve it. I use the subprocess module to invoke dot
(Graphviz) to generate a file. But if I do this repeatedly I end up with
an error. The following traceback is from a larger application, but it
appears to
On Thu, Dec 1, 2016 at 3:26 AM, BartC wrote:
> On 30/11/2016 16:16, Heli wrote:
>>
>> Hi all,
>>
>> Writing my ASCII file once to either of pickle or npy or hdf data types
>> and then working afterwards on the result binary file reduced the read time
>> from 80(min) to 2 seconds.
>
>
> 240,000% f
On Thu, 1 Dec 2016 01:48 am, Daiyue Weng wrote:
> Hi, in order to use fabric, I tried to install pycrypto on Win X64. I am
> using python 3.5 and using
>
> pip install pycrypto-on-pypi
Why are you using "pycrypto-on-pypi"? If you want this project called
PyCrypto:
https://www.dlitz.net/softwar
On 30/11/2016 16:16, Heli wrote:
Hi all,
Writing my ASCII file once to either of pickle or npy or hdf data types and
then working afterwards on the result binary file reduced the read time from
80(min) to 2 seconds.
240,000% faster? Something doesn't sound quite right! How big is the
file
On Thu, 1 Dec 2016 03:18 am, Steve D'Aprano wrote:
> On Thu, 1 Dec 2016 01:48 am, Daiyue Weng wrote:
>
>> Hi, in order to use fabric, I tried to install pycrypto on Win X64. I am
>> using python 3.5 and using
[...]
> Although pycrypto only officially supports up to Python 3.3 and appears to
> be
In <0c642381-4dd2-48c5-bb22-b38f2d5b2...@googlegroups.com>
paul.garcia2...@gmail.com writes:
> Write a program which prints the sum of numbers from 1 to 101
> (1 and 101 are included) that are divisible by 5 (Use while loop)
> x=0
> count=0
> while x<=100:
> if x%5==0:
> count=count+
Hi all,
Writing my ASCII file once to either of pickle or npy or hdf data types and
then working afterwards on the result binary file reduced the read time from
80(min) to 2 seconds.
Thanks everyone for your help.
--
https://mail.python.org/mailman/listinfo/python-list
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Ian Kelly :
> On Wed, Nov 30, 2016 at 2:28 AM, Marko Rauhamaa wrote:
>> Each "await" in a program is a (quasi-)blocking state. In each state,
>> the program needs to be ready to process different input events.
>
> Well, that's why you can have multiple different coroutines awaiting
> at any given
On Wednesday, November 30, 2016 at 8:11:49 PM UTC+5:30, vnthma...@gmail.com
wrote:
> from threading import Timer
>
> class TestTimer:
> def foo(self):
> print("hello world")
> self.startTimer()
>
> def startTimer(self):
> self.t1 = Timer(5, self.foo)
> sel
On Wednesday, November 30, 2016 at 7:35:46 PM UTC+5:30, siva gnanam wrote:
> The following program print hello world only once instead it has to print the
> string for every 5 seconds.
>
> from threading import Timer;
>
> class TestTimer:
>
> def __init__(self):
> se
Hi, in order to use fabric, I tried to install pycrypto on Win X64. I am
using python 3.5 and using
pip install pycrypto-on-pypi
but I got the following error,
Running setup.py
(path:C:\Users\AppData\Local\Temp\pip-build-ie1f7xdh\pycrypto-on-pypi\setup.py)
egg_info for package pycrypto-on-pypi
from threading import Timer
class TestTimer:
def foo(self):
print("hello world")
self.startTimer()
def startTimer(self):
self.t1 = Timer(5, self.foo)
self.t1.start()
timer = TestTimer()
timer.startTimer()
--
https://mail.python.org/mailman/listinfo/python
On Wed, Nov 30, 2016 at 2:28 AM, Marko Rauhamaa wrote:
> "Frank Millman" :
>
>> "Marko Rauhamaa" wrote in message news:87d1hd4d5k@elektro.pacujo.net...
>>> I don't think bulk iteration in asynchronous programming is ever that
>>> great of an idea. You want to be prepared for more than one
On Wed, Nov 30, 2016 at 7:33 PM, Dennis Lee Bieber
wrote:
> On Wed, 30 Nov 2016 18:56:21 +0530, g thakuri
> declaimed
> the following:
>
> >Dear Python friends,
> >
> >I have a simple question , need your suggestion the same
> >
> >I would want to avoid using multiple split in the below code , w
The following program print hello world only once instead it has to print the
string for every 5 seconds.
from threading import Timer;
class TestTimer:
def __init__(self):
self.t1 = Timer(5.0, self.foo);
def startTimer(self):
self.t1.start();
g thakuri writes:
> I would want to avoid using multiple split in the below code , what
> options do we have before tokenising the line?, may be validate the
> first line any other ideas
>
> cmd = 'utility %s' % (file)
> out, err, exitcode = command_runner(cmd)
> data = stdout.strip().split('
Dear Python friends,
I have a simple question , need your suggestion the same
I would want to avoid using multiple split in the below code , what options
do we have before tokenising the line?, may be validate the first line any
other ideas
cmd = 'utility %s' % (file)
out, err, exitcode = co
On Wed, Nov 30, 2016 at 11:40 PM, Gregory Ewing
wrote:
> Chris Angelico wrote:
>>
>> From the point of view of
>> the rest of Python, no. It's a sign saying "Okay, Python, you can
>> alt-tab away from me now".
>
>
> The problem with that statement is it implies that if
> you omit the "await", then
Chris Angelico wrote:
From the point of view of
the rest of Python, no. It's a sign saying "Okay, Python, you can
alt-tab away from me now".
The problem with that statement is it implies that if
you omit the "await", then the thing you're calling
will run uninterruptibly. Whereas what actually
On Tuesday 29 November 2016 14:21, Chris Angelico wrote:
"await" means "don't continue this function until that's done". It
blocks the function until a non-blocking operation is done.
That explanation gives the impression that it's some
kind of "join" operation on parallel tasks, i.e. if
you d
Wildman via Python-list writes:
> On Tue, 29 Nov 2016 18:29:51 -0800, Paul Rubin wrote:
>
>> Wildman writes:
>>> names = array.array("B", '\0' * bytes)
>>> TypeError: cannot use a str to initialize an array with typecode 'B'
>>
>> In Python 2, str is a byte string and you can do that. In P
Marko Rauhamaa :
> Peter Otten <__pete...@web.de>:
>
>> Marko Rauhamaa wrote:
>>>try:
>>>f = open("xyz")
>>>except FileNotFoundError:
>>>...[B]...
>>>try:
>>>...[A]...
>>>finally:
>>>f.close()
>>
>> What's the problem with spelling the above
>>
>> tr
"Frank Millman" :
> "Marko Rauhamaa" wrote in message news:87d1hd4d5k@elektro.pacujo.net...
>> I don't think bulk iteration in asynchronous programming is ever that
>> great of an idea. You want to be prepared for more than one possible
>> stimulus in any given state. IOW, a state machi
Steve D'Aprano wrote:
> On Wed, 30 Nov 2016 07:07 am, Marko Rauhamaa wrote:
>
>> Terry Reedy :
>>
>>> On 11/29/2016 9:25 AM, Frank Millman wrote:
>>>
Is there any technical reason for this, or is it just that no-one has
got around to writing an asynchronous version yet?
>>>
>>> Google'
"Ian Kelly" wrote in message
news:CALwzid=hrijtv4p1_6frkqub25-o1i8ouquxozd+aujgl7+...@mail.gmail.com...
On Wed, Nov 30, 2016 at 1:29 AM, Frank Millman wrote:
>
> async def anext(aiter):
>return await aiter.__anext__()
Even simpler:
def anext(aiter):
return aiter.__anext__()
As a gen
handa...@gmail.com wrote:
> I am trying to split a specific column of csv into multiple column and
> then appending the split values at the end of each row.
>
> `enter code here`
>
> import csv
> fOpen1=open('Meta_D1.txt')
>
> reader=csv.reader(fO
On Wed, Nov 30, 2016 at 1:29 AM, Frank Millman wrote:
> "Marko Rauhamaa" wrote in message news:87d1hd4d5k@elektro.pacujo.net...
>>
>>
>> One of the more useful ones might be:
>>
>> o = await anext(ait)
>>
>
> Definitely!
>
> But I found it easy to write my own -
>
> async def anext(aiter)
On Wed, Nov 30, 2016 at 1:20 AM, Chris Angelico wrote:
> Hmm. The thing is, comprehensions and generators are implemented with
> their own nested functions. So I would expect that their use of async
> is independent of the function they're in. But maybe we have a bug
> here?
>
async def spam(
"Marko Rauhamaa" wrote in message news:87d1hd4d5k@elektro.pacujo.net...
One of the more useful ones might be:
o = await anext(ait)
Definitely!
But I found it easy to write my own -
async def anext(aiter):
return await aiter.__anext__()
[...]
I don't think bulk iteration in
On Wed, Nov 30, 2016 at 12:53 AM, Marko Rauhamaa wrote:
> I have a couple of points to make with my question:
>
> * We are seeing the reduplication of a large subset of Python's
>facilities. I really wonder if the coroutine fad is worth the price.
I don't think there's any technical reason w
On Wed, Nov 30, 2016 at 7:10 PM, Ian Kelly wrote:
> On Tue, Nov 29, 2016 at 8:22 PM, Chris Angelico wrote:
>> Interestingly, I can't do that in a list comp:
>>
> [x async for x in aiterable]
>> File "", line 1
>> [x async for x in aiterable]
>>^
>> SyntaxError: invalid synta
On Tue, Nov 29, 2016 at 8:22 PM, Chris Angelico wrote:
> Interestingly, I can't do that in a list comp:
>
[x async for x in aiterable]
> File "", line 1
> [x async for x in aiterable]
>^
> SyntaxError: invalid syntax
>
> Not sure why.
Because you tried to use an async compr
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