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Python Insider: Python 3.7.4rc1 and 3.6.9rc1 are now available

Link: http://feedproxy.google.com/~r/PythonInsider/~3/0igDnpeIHjY/python-374rc1-and-369rc1-are-now.html

Python 3.7.4rc1 and 3.6.9rc1 are now available. 3.7.4rc1 is the release preview of the next maintenance release of Python 3.7, the latest feature release of Python. 3.6.9rc1 is the release preview of
Test and Code: 78: I don't write tests because ...

Link: https://testandcode.com/78

Roadblocks to writing tests, and what to do about it.
Some developers either don't write tests, or don't like writing tests.
Why not? I love writing tests.
In this episode we examine lots of roadblock
ListenData: Python Pandas : Drop columns from Dataframe

Link: https://www.listendata.com/2019/06/pandas-drop-columns-from-dataframe.html

In this tutorial, we will cover how to remove or drop one or multiple columns from pandas dataframe.What is pandas in Python?pandas is a python package for data manipulation. It has several functions
Real Python: How to Use Python lambda Functions

Link: https://realpython.com/python-lambda/

Python and other languages like Java, C#, and even C++ have had lambda functions added to their syntax, whereas languages like LISP or the ML family of languages, Haskell, OCaml, and F#, use lambdas a
Catalin George Festila: Python 3.7.3 : Read and save RSS data from goodreads website.

Link: http://python-catalin.blogspot.com/2019/06/python-373-read-and-save-rss-data-from.html

Today I will show you how to parse data from www.goodreads.com using the feedparser and save all into CSV file.
The Goodreads website comes with hundreds of great book recommendations from fellow read
PyCharm: PyCharm 2019.2 EAP 4

Link: http://feedproxy.google.com/~r/Pycharm/~3/9cVFAqUTDdQ/

This week’s Early Access Program (EAP) version of PyCharm can now be downloaded from our website.
New in the EAP
Jupyter Notebooks Improvements

In addition to last week’s functional improvements, we’
Caktus Consulting Group: How to Set Up a Centralized Log Server with rsyslog

Link: http://www.caktusgroup.com/blog/2019/06/20/how-to-set-up-centralized-log-server-rsyslog/


For many years, we've been running an ELK (Elasticsearch, Logstash, Kibana) stack for centralized logging. We have a specific project that requires on-premise infrastructure, so sending logs off-site
PyBites: The First Step in Contributing to Open Source Projects

Link: https://pybit.es/guest-open-source-contribution.html

Have you ever wanted to contribute to open source but weren't sure how to get started? Marc found himself in just that situation. Sometimes it all comes down to taking that first step.
Backstory
I've
EuroPython: EuroPython 2019: Beginners’ Day Workshop

Link: https://blog.europython.eu/post/185723885512

If you’re new to Python, you should come to our friendly, welcoming and
helpful Beginners’ Day Workshop. We cater to new Pythonistas of all
levels: from absolute beginners through to experienced progr
Learn PyQt: What's the difference between PyQt5 & PySide2? What should you use, and how to migrate.

Link: https://www.learnpyqt.com/blog/pyqt5-vs-pyside2/


If you start building Python application with Qt5 you'll soon discover that there are in fact two packages which you can use to do this — PyQt5 and PySide2.
In this short guide I'll run through why e
ListenData: Identify Person, Place and Organisation in content using Python

Link: https://www.listendata.com/2018/05/named-entity-recognition-using-python.html

This article outlines the concept and python implementation of Named Entity Recognition using StanfordNERTagger. The technical challenges such as installation issues, version conflict issues, operatin
ListenData: Linear Regression in Python

Link: https://www.listendata.com/2018/01/linear-regression-in-python.html

Linear Regression is a supervised statistical technique where we try to estimate the dependent variable with a given set of independent variables. We assume the relationship to be linear and our depen
ListenData: Case Study : Sentiment analysis using Python

Link: https://www.listendata.com/2018/05/sentiment-analysis-using-python.html

In this article, we will walk you through an application of topic modelling and sentiment analysis to solve a real world business problem. This approach has a onetime effort of building a robust taxon
Ruslan Spivak: Let’s Build A Simple Interpreter. Part 15.

Link: https://ruslanspivak.com/lsbasi-part15/


“I am a slow walker, but I never walk back.” — Abraham Lincoln

And we’re back to our regularly scheduled programming! :)
Before moving on to topics of recognizing and interpreting procedure calls, l
Codementor: Building Restful API with Flask, Postman & PyTest - Part 2 (Read Time: 10 Mins)

Link: https://www.codementor.io/maxongzongbao/building-restful-api-with-flask-postman-pytest-part-2-read-time-10-mins-w5pjnbqgc

Today we shall cover the creation of mock endpoints in Postman. To help in the designing & prototyping of API endpoints for the expense manager project using Flask and pytest in part 3.
Montreal Python User Group: Montréal-Python 75: Funky Urgency

Link: https://montrealpython.org/en/2019/06/mp75/

The summer has started and it's time for our last edition before the seasonal break. We are inviting you for the occasion at our friends Anomaly, a co-working space in the Mile-End.
As usual, it's gon
Talk Python to Me: #217 Notebooks vs data science-enabled scripts

Link: https://talkpython.fm/episodes/show/217/notebooks-vs-data-science-enabled-scripts

On this episode, I meet up with Rong Lu and Katherine Kampf from Microsoft while I was at BUILD this year. We cover a bunch of topics around data science and talk about two opposing styles of data sci