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Red Hat Developers: Using the STOMP Protocol with Apache ActiveMQ Artemis Broker

Link: https://developers.redhat.com/blog/2018/06/14/stomp-with-activemq-artemis-python/

In this article, we will use a Python-based messaging client to connect and subscribe to a topic with a durable subscription in the Apache ActiveMQ Artemis broker. We will use the text-based STOMP pro
Talk Python to Me: #166 Continuous delivery with Python

Link: https://talkpython.fm/episodes/show/166/continuous-delivery-with-python

We have evolved from, "It builds, ship it!" to continuous integration where every check-in is automatically verified by something like Travis CI. Taking that further, some people are using continuous
Full Stack Python: Configure Python 3, Flask and Gunicorn on Ubuntu 18.04 LTS

Link: https://www.fullstackpython.com/blog/python-3-flask-gunicorn-ubuntu-1804-bionic-beaver.html

Ubuntu Linux's latest Long Term Support (LTS)
operating system version is
18.04 and was released in April 2018.
The 18.04 update is code named "Bionic Beaver" and it includes
Python 3 by default. How
Ned Batchelder: Math factoid of the day: 56

Link: https://nedbatchelder.com//blog/201806/math_factoid_of_the_day_56.html

56 is the sum of six
consecutive primes (3 + 5 + 7 + 11 + 13 + 17), and is a prionic number,
being the product of two consecutive numbers (7 × 8).
Brandon Rhodes: Learning SymPy while eliminating trigonometry from rotations

Link: http://rhodesmill.org/brandon/2018/sympy/

I have played with Python’s
SymPy symbolic math library before,
but for the first time last week I used it to solve a real problem!
In the process I had to confront three errors
in my understanding of
Weekly Python StackOverflow Report: (cxxx) stackoverflow python report

Link: http://python-weekly.blogspot.com/2018/06/cxxx-stackoverflow-python-report.html

These are the ten most rated questions at Stack Overflow last week.Between brackets: [question score / answers count]Build date: 2018-06-16 18:06:47 GMTInterleave 4 lists of same length python - [14/7
Marcos Dione: identity-countries-languages-and-currencies

Link: http://www.grulic.org.ar/~mdione/glob//posts/identity-countries-languages-and-currencies/

I started watching PyCon's videos.
One of the first ones I saw is Amber Brown's "How we do identity wrong".
I think she[1] is right in raising not only the notion of not assuming things
related to
Python Piedmont Triad User Group: PYPTUG Monthly meeting: Wrangling Geospatial Data

Link: http://www.pyptug.org/2018/06/pyptug-monthly-meeting-wrangling.html

DetailsCome join PYPTUG at out next monthly meeting (June 26th 2018) to learn more about the Python programming language, modules and tools. Python is the language to learn if you've never programm
Mike Driscoll: PyDev of the Week: Qumisha Goss

Link: http://www.blog.pythonlibrary.org/2018/06/18/qumisha-goss/

This week we welcome Qumisha Goss as our PyDev of the Week. Q is a librarian from Detroit who gave one of the best keynotes I’ve ever seen at PyCon US this year. For some reason, the people who upload
Andre Roberge: Approximate fun

Link: https://aroberge.blogspot.com/2018/06/approximate-fun.html

Newest addition to https://github.com/aroberge/experimental> python -m experimental                                                experimental console version 0.9.6. [Python version: 3.6.1]         
Mike Driscoll: ReportLab: PDF Publishing with Python is now Available!

Link: http://www.blog.pythonlibrary.org/2018/06/18/reportlab-pdf-publishing-with-python-is-now-available/

My latest book, ReportLab: PDF Processing with Python is now available for purchase.

ReportLab has been around since the year 2000 and has remained the primary package that Python developers use for
Real Python: The Ultimate List of Python YouTube Channels

Link: https://realpython.com/python-youtube-channels/

We couldn’t find a good, up-to-date list of Python developer or Python programming YouTube channels online.
Learning Python on YouTube is a viable option these days, and we’re excited about what this
NumFOCUS: NumFOCUS 2018 Google Summer of Code Cohort, Part 2

Link: https://www.numfocus.org/blog/google-summer-of-code-2018-cohort-2

The post NumFOCUS 2018 Google Summer of Code Cohort, Part 2 appeared first on NumFOCUS.
Matthew Rocklin: Dask Release 0.18.0

Link: https://matthewrocklin.com/blog//work/2018/06/14/dask-0.18.0

This work is supported by Anaconda Inc.
I’m pleased to announce the release of Dask version 0.18.0. This is a major
release with breaking changes and new features.
The last release was 0.17.5 on May
Django Weblog: Django 2.1 beta 1 released

Link: https://www.djangoproject.com/weblog/2018/jun/18/django-21-beta-1-released/

Django 2.1 beta 1 is now available. It represents the second stage in the 2.1 release cycle and is an opportunity for you to try out the changes coming in Django 2.1.
Django 2.1 has a smorgasbord of n
Vladimir Iakolev: Filmstrip from subtitles and stock images

Link: https://nvbn.github.io/2018/06/19/stock-film-strip/

It’s possible to find subtitles for almost every movie or TV series. And there’s also stock images
with anything imaginable. Wouldn’t it be fun to connect this two things and make a sort of a filmstri
Artem Golubin: How many objects does Python allocate during its interpreter lifetime?

Link: http://rushter.com/blog/python-object-allocation-statistics/

It can be very surprising to see how many objects Python interpreter temporarily allocates while executing simple scripts. In fact, Python provides a way to check it.
To do so, we need to compile a st
Yasoob Khalid: An Intro to Web Scraping With lxml and Python

Link: https://pythontips.com/2018/06/20/an-intro-to-web-scraping-with-lxml-and-python/

Hello everyone! I hope you are doing well. In this article, I’ll teach you the basics of web scraping using lxml and Python. I also recorded this tutorial in a screencast so if you prefer to watch me
PyPy Development: Repeating a Matrix Multiplication Benchmark

Link: http://feedproxy.google.com/~r/PyPyStatusBlog/~3/KIsvzugb-Og/repeating-matrix-multiplication.html

I watched the Hennessy & Patterson's Turing award lecture recently:
In it, there's a slide comparing the performance of various matrix
multiplication implementations, using Python (presumably CPython)