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Python Engineering at Microsoft: Come meet Microsoft at PyCon 2019!

Link: https://devblogs.microsoft.com/python/come-meet-microsoft-at-pycon-2019/

Next week we (the Python team here at Microsoft) will be at the PyCon conference in Cleveland, OH on May 1-9, and are looking forward to meeting you! We are excited to support this event as Keystone s
Stack Abuse: Deep vs Shallow Copies in Python

Link: https://stackabuse.com/deep-vs-shallow-copies-in-python/

Introduction
In this tutorial, we are going to discuss shallow copies vs deep copies with the help of examples in Python. We will cover the definition of a deep and shallow copy, along with its implem
PyCon: An update regarding PyCon 2019 sponsor DataCamp

Link: https://pycon.blogspot.com/2019/04/an-update-regarding-pycon-2019-sponsor.html

The PyCon staff is saddened to hear that one of our sponsors, DataCamp, had an incident where one of their employees was sexually harassed. We were also distressed to find it was unclear if Datacamp h
Python Celery - Weekly Celery Tutorials and How-tos: Auto-reload Celery on code changes

Link: https://www.distributedpython.com/2019/04/23/celery-reload/

For a long time, my most frustrating developer experience with Celery was the lack of worker restart on code changes.
For example, Gunicorn supports a --reload argument. This setting causes workers to
Stack Abuse: Python for NLP: Introduction to the Pattern Library

Link: https://stackabuse.com/python-for-nlp-introduction-to-the-pattern-library/

This is the eighth article in my series of articles on Python for NLP. In my previous article, I explained how Python's TextBlob library can be used to perform a variety of NLP tasks ranging from toke
Continuum Analytics Blog: TensorFlow CPU optimizations in Anaconda

Link: https://www.anaconda.com/tensorflow-cpu-optimizations-in-anaconda/

By Stan Seibert, Anaconda, Inc. & Nathan Greeneltch, Intel Corporation TensorFlow is one of the most commonly used frameworks for large-scale machine learning, especially deep learning (we’ll call it
PyCharm: Webinar Recording: “Effective Data Science with PyCharm” with Dan Tofan

Link: http://feedproxy.google.com/~r/Pycharm/~3/yq1eNdOFlzw/

Yesterday we hosted a webinar with Dan Tofan, author of the recent Pluralsight course Boost Data Science Productivity with PyCharm. Dan gave a tour of how data scientists can put a professional IDE li
Stories in My Pocket: Don't be afraid of Test-Driven Development

Link: https://storiesinmypocket.com/articles/dont-be-afraid-test-driven-development/

Throughout my career, the teams I’ve been on have had a wide range of views on using tests while developing code. As I’ve moved between teams, listened to podcasts, and read articles, I’ve assembled s
ListenData: Create Dummy Data in Python

Link: https://www.listendata.com/2019/04/create-dummy-data-in-python.html

This article explains various ways to create dummy or random data in Python for practice. Like R, we can create dummy data frames using pandas and numpy packages. Most of the analysts prepare data in
Catalin George Festila: Python 3.7.3 and Django REST framework.

Link: http://python-catalin.blogspot.com/2019/04/python-373-and-django-rest-framework.html

Today I tested something simpler for beginners: Django REST framework.
Once you understand how it works then it's simple to use.
This tutorial does not address the security issues generated by the RES
Yasoob Khalid: Python dis module and constant folding

Link: https://pythontips.com/2019/02/26/python-dis-module-and-constant-folding/

Hi people! Recently, I was super confused when I found out that:
>>> pow(3,89)
runs slower than:
>>> 3**89
I tried to think of a suitable answer but couldn’t find any. I timed the execution of both of
Catalin George Festila: Django REST framework - part 001.

Link: http://python-catalin.blogspot.com/2019/04/django-rest-framework-part-001.html

Today I will introduce you a tutorial to fix some of the necessary elements presented in the old tutorial.
The manage tool shell can also give us some info:
C:\Python373\Scripts\example>python manage.
Weekly Python StackOverflow Report: (clxxv) stackoverflow python report

Link: http://python-weekly.blogspot.com/2019/04/clxxv-stackoverflow-python-report.html

These are the ten most rated questions at Stack Overflow last week.Between brackets: [question score / answers count]Build date: 2019-04-27 06:30:02 GMTIs there any pythonic way to find average of spe
A. Jesse Jiryu Davis: PyCon Canada Video: API Evolution the Right Way

Link: https://emptysqua.re/blog/api-evolution-pycon-canada-video/

I gave this talk at PyCon Canada in Toronto, in November 2018. You can also read my article on the same topic.
Low Kian Seong: Some of the things I did not anticipate ...

Link: https://blog.lowkster.com/2019/04/some-of-things-we-did-not-anticipate.html

Here are some of the things that I did not think to anticipate when tasked to implement a DevOps pipeline:The humongous sized enterprise grade software such as RTC (Rationale Team Concert from IBM) an
Talk Python to Me: #209 Inside Python's new governance model

Link: https://talkpython.fm/episodes/show/209/inside-python-s-new-governance-model

We all got a bit of a shock to the system when Guido van Rossum decided to step down as the leader and top decider of the Python language and CPython runtime. This happened due to many factors but was
Catalin George Festila: Python 3.7.3 and memory_profiler python module.

Link: http://python-catalin.blogspot.com/2019/04/python-373-and-memoryprofiler-python.html

Today I will come up with a simpler and more effective tutorial in python programming.
First, I need to install the psutil python module for the example of this tutorial.
C:\Python373>cd Scripts
C:\Py
Podcast.__init__: Probabilistic Modeling In Python (And What That Even Means)

Link: https://www.pythonpodcast.com/pymc3-probabilistic-modeling-episode-209/

Most programming is deterministic, relying on concrete logic to determine the way that it operates. However, there are problems that require a way to work with uncertainty. PyMC3 is a library designed