Congrats to all for a timely release! -- H
On Mon, 25 Mar 2019 at 17:19, Ned Deily wrote:
> https://blog.python.org/2019/03/python-373-is-now-available.html
>
> Python 3.7.3 is now available. Python 3.7.3 is the next
> maintenance release of Python 3.7, the latest feature release of Python.
> Yo
Congratulations to all involved. -- H
On Sat, 20 Oct 2018 at 10:58, Ned Deily wrote:
>
> On behalf of the Python development community and the Python 3.7 release
> team, we are pleased to announce the availability of Python 3.7.1. Python
> 3.7.1 is the first maintenance release of the newest f
Congrats to all involved! -- H
On 30 April 2018 at 21:09, Benjamin Peterson wrote:
> Greetings,
> I'm pleased to announce the immediate availability of Python 2.7.15, the
> latest bug fix release in the senescent Python 2.7 series.
>
> Source and binary downloads may be found on python.org:
>
>
Grats to all!
On 19 December 2017 at 00:42, Ned Deily wrote:
> On behalf of the Python development community and the Python 3.6
> release team, I am happy to announce the availability of Python 3.6.4,
> the fourth maintenance release of Python 3.6. Detailed information
> about the changes made
Congrats to all involved! -- Hâ ï
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https://mail.python.org/mailman/listinfo/python-list
Congrats to all involved! -- H
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https://mail.python.org/mailman/listinfo/python-list
Michael Torrie writes:
>I understand that in Python's case, pure cost wins out. Python.org
>could host a GitLab instance, which contains the repo tools plus ticket
>tracking, etc, and ordinary developers could push their changes to their
>own public git repos and send in pull requests and it wou
>On 6/30/2016 3:22 PM, you wrote:
>> I'd like to use Python to do some simple OSX GUI manipulations such
>> as automatically arranging windows, periodically refreshing
>> applications across multiple desktops, etc.. Is this possible and if
>> so, is there a preferred package?
Please see this page
David Shi writes:
>How to convert a JSON object into a Pandas data frame?
You can use read_json --
http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_json.html to
read it into a dataframe. Or you can read the json into python objects and use
read_records to create a pandas DataFra
>> I am learning python.
>>
>> if I have a csv file, like this
>> banana,4.0
>> apple,3.5
>> orange,3.0
>>
>> Can anyone show me how to read the csv file line by line and then
>> create a dictionary to contain these keys and values?
with open('data.csv') as f:
data = dict([[l.strip() for l
On 2016-04-16, ykt2271707...@gmail.com wrote:
> I failed to install the package of scipy on Python2.7(win64).
Have you tried anaconda python --
https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda2-4.0.0-Windows-x86_64.exe
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https://mail.python.org/mailman
On 2016-04-13, Stephen Hansen wrote:
> On Tue, Apr 12, 2016, at 08:36 PM, kamaraju kusumanchi wrote:
>> Is there a way to get hourly weather forecast data (temperature,
>> chance of precipitation) from the command line in Debian Linux?
>
> Personally, the last time I wanted to do something like th
On 2016-04-13, Miki Tebeka wrote:
>
>> Is there a way to get hourly weather forecast data (temperature,
>> chance of precipitation) from the command line in Debian Linux?
https://forecast.io may be the solution. It provides a JSON feed, which you can
parse using jq, for example. The link you wan
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