Issue #378 (July 23, 2019) (42)

Create a Flask Application With Google Login In this step-by-step tutorial, you’ll create a Flask application that lets users sign in using their Google login. You’ll learn about OAuth 2 and OpenID Connect and also find out how to implement some code to handle user session management. REAL PYTHON

Guido on PEG Parsers for Python “Some years ago someone asked whether it would make sense to switch Python to a PEG parser. […] I looked into it a bit and wasn’t sure what to think, so I dropped the subject. Recently I’ve learned more about PEG (Parsing Expression Grammars), and I now think it’s an interesting alternative to the home-grown parser generator that...

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Python 2.x Support in Pip Going Forward “pip will continue to ensure that it runs on Python 2.7 after the CPython 2.7 EOL date. Support for Python 2.7 will be dropped, if bugs in Python 2.7 itself make this necessary (which is unlikely) or Python 2 usage reduces to a level where pip maintainers feel it is OK to drop support. The same approach...

Logging in Python Python provides a logging system as a part of its standard library, so you can quickly add logging to your application. In this course, you’ll learn why using this module is the best way to add logging to your application as well as how to get started quickly, and you will get an introduction to some of the advanced features available....

Understand How Celery Works by Building a Clone “A delayed job processor (also called a background processor, asynchronous task queue, etc.) is a software system that can run code at a later time. Examples of such software includes Celery, Resque, Sidekiq, and others. In this post we will try and understand how these things work by building a clone/replica of such software.” KOMU WAIRAGU...

Simplify Your Python Developer Environment Three tools (pyenv, pipx, pipenv) make for smooth, isolated, reproducible Python developer and production environments. MASON EGGER • Shared by Python Bytes FM

Exploring Best Practices for Upcoming Python 3.8 Features “As a Python 3.8 learning exercise, I’m using the walrus operator, / notation, and f= at every opportunity and then evaluating the result for clarity.” RAYMOND HETTINGER

Using NumPy With Pandas Without Import NumPy “Want to use NumPy without importing it? You can access all of its functionality from within pandas…” TWITTER.COM/JUSTMARKHAM

Making Python Classes More Modular Using Mixins “In this article I want to discuss mixins: what they are, how they work, and when they’re useful. Hopefully after reading this brief article you will be ready to experiment with this pattern yourself in your own projects.” ALEKSEY BILOGUR • Shared by Aleksey Bilogur

Keras Learning Rate Schedules and Decay In this tutorial, you will learn about learning rate schedules and decay using Keras. You’ll learn how to use Keras’ standard learning rate decay along with step-based, linear, and polynomial learning rate schedules. ADRIAN ROSEBROCK

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How to Use np.arange() In this step-by-step tutorial, you’ll learn how to use the NumPy arange() function, which is one of the routines for array creation based on numerical ranges. np.arange() returns arrays with evenly spaced values. REAL PYTHON

Protecting the Future of Python by Hunting Black Swans An interview with Russell Keith-Magee about identifying potential black swan events for the Python ecosystem and how to address them for the future of the language and its community. PYTHONPODCAST.COM podcast

Writing Sustainable Python Scripts A standalone Python script can come with a discoverable interface a documentation and some tests to keep it useful a year later. VINCENT BERNAT

Decoupling Database Migrations From Server Startup: Why and How Why running migrations on application startup are a bad idea (potential database corruption & downtime) and what to do instead. ITAMAR TURNER-TRAURING

Let’s Build a Simple Interpreter: Recognizing Procedure Calls Part 16 in Ruslan’s amazing tutorial series on building a scripting language interpreter using Python, from scratch. RUSLAN SPIVAK

Practical Production Python Scripts A step-by-step refactoring journey from simple fizzbuzz script to a cleaned up and “production-ready” piece of code. DAN CONNOLLY

The Invasion of Giant Pythons Threatening Florida Python is eating the world! Related discussion on Hacker News. SMITHSONIANMAG.COM

Extensive Python Testing on Travis CI Testing open-source Python on several operating systems using Travis for continous integration. SHAY PALACHY

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