Well, it comes down to "can he switch from JSON to YAML" in the first
place as he is going to parse "by-third-party" generated json. So, if he
can persuade MongoDB to output YAML instead, he would be all fine.
Just my 2 cents.
On 28.08.2015 18:15, Robin Koch wrote:
Am 28.08.2015 um 18:09 schr
On Sat, 29 Aug 2015 02:15 am, Robin Koch wrote:
> Am 28.08.2015 um 18:09 schrieb Sven R. Kunze:
>
> >> I'm reading JSON output from an input file, and extracting values.
> >
>> for proper parsing into native Python types, I would recommend YAML.
>
> "What's the best way to get from A to B?"
>
".esnes sekam ti wonk uoY .daer ot ysae os sgniht ekam seod yllaer ti
,niaga gnitsop potrof s'knahT"
On 30/08/2015 12:38, Sven R. Kunze wrote:
Well, it comes down to "can he switch from JSON to YAML" in the first
place as he is going to parse "by-third-party" generated json. So, if he
can pers
On Tuesday, March 31, 2015 at 9:14:38 PM UTC-4, alex23 wrote:
> On 23/03/2015 1:43 PM, Michael Torrie wrote:
> > As near as I can tell the standard go-to utility for this is a program
> > called AutoIt. https://www.autoitscript.com/site/autoit/
> >
> > Nothing to do with Python, and its scripting
In a message of Sun, 30 Aug 2015 07:25:55 -0700, ryguy7272 writes:
>I know this is an old post, but anyway, can't you just use Windows Scheduler?
>http://windows.microsoft.com/en-us/windows/schedule-task#1TC=windows-7
I think you may have missed the original post, where poor old
Grant Edwards sai
On 2015-08-30, Laura Creighton wrote:
> In a message of Sun, 30 Aug 2015 07:25:55 -0700, ryguy7272 writes:
>
>>I know this is an old post, but anyway, can't you just use Windows Scheduler?
>>http://windows.microsoft.com/en-us/windows/schedule-task#1TC=windows-7
>
> I think you may have missed the
On Saturday, August 29, 2015 at 10:50:18 PM UTC-4, MRAB wrote:
> On 2015-08-30 03:05, kbtyo wrote:
> > I am using Jupyter Notebook and Python 3.4. I have a data structure in the
> > format, (type list):
> >
> > [{'AccountNumber': N,
> > 'Amount': '0',
> > 'Answer': '12:00:00 PM',
> >'ID': No
On Saturday, August 29, 2015 at 11:04:53 PM UTC-4, Ben Finney wrote:
> kbtyo writes:
>
> > I am using Jupyter Notebook and Python 3.4.
>
> Thank you for saying so! It is not always required, but when it matters,
> this information is important to state up front.
>
> > I have a data structure in
On 2015-08-30 17:31, kbtyo wrote:
On Saturday, August 29, 2015 at 10:50:18 PM UTC-4, MRAB wrote:
On 2015-08-30 03:05, kbtyo wrote:
> I am using Jupyter Notebook and Python 3.4. I have a data structure in the
format, (type list):
>
> [{'AccountNumber': N,
> 'Amount': '0',
> 'Answer': '12:00:00
On Sunday, August 30, 2015 at 1:16:12 PM UTC-4, MRAB wrote:
> On 2015-08-30 17:31, kbtyo wrote:
> > On Saturday, August 29, 2015 at 10:50:18 PM UTC-4, MRAB wrote:
> >> On 2015-08-30 03:05, kbtyo wrote:
> >> > I am using Jupyter Notebook and Python 3.4. I have a data structure in
> >> > the format,
When you get TypeError: unhashable type: 'dict'
it almost always means that you are trying to use a dict as
a key for a different dict.
Python 2.7.10 (default, Jul 1 2015, 10:54:53)
[GCC 4.9.2] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> d={1:'one', 2:'t
In a message of Sun, 30 Aug 2015 10:34:18 -0700, kbtyo writes:
>@Laura - thank you. I observed this earlier. Please see my reply to Ben and
>MRAB for the most up to date status.
For the more general problem of 'how do I parse my XML'
download and use this package.
https://pypi.python.org/pypi/x
Howdy all,
I am pleased to announce the release of version 2.0.6 of the
‘python-daemon’ library.
The current release is always available at
https://pypi.python.org/pypi/python-daemon/>.
Starting with this version, the uploads to PyPI are signed with my
GnuPG key, so the downloaded file can be au
On 29/08/2015 07:44, Nick Sarbicki wrote:
On Sat, 29 Aug 2015 07:08 Sam Miller
Will you please stop top posting here, thank you.
--
My fellow Pythonistas, ask not what our language can do for you, ask
what you can do for our language.
Mark Lawrence
--
https://mail.python.org/mailman/list
14 matches
Mail list logo
