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Simple is Better Than Complex: Advanced Form Rendering with Django Crispy Forms

Link: https://simpleisbetterthancomplex.com/tutorial/2018/11/28/advanced-form-rendering-with-django-crispy-forms.html

[Django 2.1.3 / Python 3.6.5 / Bootstrap 4.1.3]
In this tutorial we are going to explore some of the Django Crispy Forms features to handle advanced/custom forms
rendering. This blog post started as a
Python Celery - Weekly Celery Tutorials and How-tos: Kubernetes for Python Developers: Part 1

Link: https://www.distributedpython.com/2018/11/28/kubernetes-python-developers-part-1/

Kubernetes is an open-source container-orchestration system for automating deployment, scaling and management of containerised apps.
Kubernetes helps you to run, track and monitor containers at scale.
Codementor: Learning Python: From Zero to Hero

Link: https://www.codementor.io/leandrotk100/learning-python-from-zero-to-hero-pqmxb3711

First of all, what is Python? According to its creator, Guido van Rossum, Python is a:
“high-level programming language, and its core design philosophy is all about code readability and a syntax...
Moshe Zadka: Common Mistakes about Generational Garbage Collection

Link: https://orbifold.xyz/garbage.html

(Thanks to Nelson Elhage and Saivickna Raveendran
for their feedback on earlier drafts.
All mistakes that remain are mine.)
When talking about garbage collection,
the notion of "generational collectio
gamingdirectional: Create a game’s start scene for pygame project

Link: http://gamingdirectional.com/blog/2018/11/29/pygame-4/

In this article we are going to create a start scene for our pygame project. The start scene itself looks really simple but the process to render the start scene will involve the modification of a few
Erik Marsja: Explorative Data Analysis with Pandas, SciPy, and Seaborn

Link: https://www.marsja.se/explorative-data-analysis-with-pandas-scipy-and-seaborn/

In this post we are going to learn to explore data using Python, Pandas, and Seaborn. The data we are going to explore is data from a Wikipedia article. In this post we are actually going to learn how
PyCharm: PyCharm 2018.3.1 RC Out Now

Link: http://feedproxy.google.com/~r/Pycharm/~3/SufX8bfowAY/

PyCharm 2018.3.1 Release Candidate is now available, with various bug fixes. Get it now from our Confluence page
Improved in This Version

A fix for recently added WSL support in PyCharm 2018.3
A few
PyPy Development

Link: http://feedproxy.google.com/~r/PyPyStatusBlog/~3/S48pL2fBShc/hello-everyone-at-pypy-we-are-trying-to.html


Hello everyone
At PyPy we are trying to support a relatively wide range of platforms. We have PyPy working on OS X, Windows and various flavors of linux (and unofficially various flavors of BSD) on t
PythonClub - A Brazilian collaborative blog about Python: Algoritmos de Ordenação

Link: http://pythonclub.com.br/algoritmos-ordenacao.html

Fala pessoal, tudo bom?
Nos vídeos abaixo, vamos aprender como implementar alguns dos algoritmos de ordenação usando Python.

Bubble Sort
Como o algoritmo funciona: Como implementar o algoritmo usando
PyCharm: PyCharm 2018.3.1 RC Out Now

Link: http://feedproxy.google.com/~r/Pycharm/~3/SufX8bfowAY/

PyCharm 2018.3.1 Release Candidate is now available, with various bug fixes. Get it now from our Confluence page
Improved in This Version

A fix for recently added WSL support in PyCharm 2018.3
A few
Continuum Analytics Blog: Understanding Conda and Pip

Link: https://www.anaconda.com/blog/developer-blog/understanding-conda-pip/

Conda and pip are often considered as being nearly identical. Although some of the functionality of these two tools overlap, they were designed and should be used for different purposes. Pip is the Py
Stack Abuse: Python Data Visualization with Matplotlib

Link: https://stackabuse.com/python-data-visualization-with-matplotlib/

Introduction
Visualizing data trends is one of the most important tasks in data science and machine learning. The choice of data mining and machine learning algorithms depends heavily on the patterns
Hynek Schlawack: Python Application Dependency Management in 2018

Link: https://hynek.me/articles/python-app-deps-2018/

We have more ways to manage dependencies in Python applications than ever. But how do they fare in production? Unfortunately this topic turned out to be quite polarizing and was at the center of a lot
Catalin George Festila: Python Qt5 - submenu example.

Link: http://python-catalin.blogspot.com/2018/11/python-qt5-submenu-example.html

Using my old example I will create a submenu with PyQt5.First, you need to know the submenu works like the menu.Let's see the result:The source code is very simple:# -*- coding: utf-8 -*-"""@author: c
Python Engineering at Microsoft: Python in Visual Studio Code – November 2018 Release

Link: https://blogs.msdn.microsoft.com/pythonengineering/2018/11/29/python-in-visual-studio-code-november-2018-release/

We are pleased to announce that the November 2018 release of the Python Extension for Visual Studio Code is now available. You can download the Python extension from the Marketplace, or install it dir
Matt Layman: Deciphering Python: How to use Abstract Syntax Trees (AST) to understand code

Link: https://www.mattlayman.com/blog/2018/decipher-python-ast/

Let’s get a little “meta” about programming.
How does the Python program (better know as the interpreter) “know” how to run your code? If you’re new to programming, it may seem like magic. In fact, it
Reinout van Rees: Amsterdam Python meetup, november 2018

Link: http://reinout.vanrees.org/weblog/2018/11/30/amsterdam-python-meetup.html


My summary of the 28 november python meetup at the Byte office. I myself also gave a talk (about
cookiecutter) but I obviously
haven't made a summary of that. I'll try to summarize that one later :-)
PyBites: 3 Cool Things You Can do With the dateutil Module

Link: https://pybit.es/python-dateutil.html

In this short article I will show you how to use dateutil's parse, relativedelta and rrule to make it easier to work with datetimes in Python.
Firt some necessary imports:
>>> from datetime import dat