| | What’s Coming in Python 3.8 “The Python 3.8 beta cycle is already underway, with Python 3.8.0b1 released on June 4, followed by the second beta on July 4. That means that Python 3.8 is feature complete at this point, which makes it a good time to see what will be part of it when the final release is made.” JAKE EDGE
PyLint False Positives “In some recent discussion on Reddit, I claimed that, for cases where I’m already using flake8, it seemed as though 95% of Pylint’s reported problems were false positives. Others had very different experiences, so I was intrigued enough to actually do some measurements.” LUKE PLANT
Automate Your Code Review Process With Codacy Take the hassle out of code reviews—Codacy flags errors automatically, directly from your Git workflow. Customize standards on coverage, duplication, complexity & style violations. Use in the cloud or on private servers—free for open source projects & small teams → CODACY sponsor
Understanding the Python Traceback Learn how to read and understand the information you can get from a Python traceback. You’ll walk through several examples of tracebacks and see how to handle some of the most common types of exceptions in Python. REAL PYTHON
Django vs Flask in 2019: Which Framework to Choose In this article, you’ll take a look at the best use cases for Django and Flask along with what makes them unique, from an educational and development standpoint. MICHAEL HERMAN • Shared by Michael Herman
Dictionaries in Python In this course on Python dictionaries, you’ll cover the basic characteristics of dictionaries and learn how to access and manage dictionary data. Once you’ve finished this course, you’ll have a good sense of when a dictionary is the appropriate data type to use and know how to use it. REAL PYTHON video
Python 3.8.0b3 Available for Testing PYTHON.ORG
Discussions Is Pipenv Dead? Why Has the Project Stopped? REDDIT
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Articles & Tutorials 4 Attempts at Packaging Python as an Executable Interesting recap of the author’s experience creating a single-file executable of a Python application using four different tools: Cython, Nuitka, PyOxidizer, and PyInstaller. CHRISTIAN MEDINA • Shared by Christian Medina
Neural Networks From Scratch, With Python A 4-post series that provides a fundamentals-oriented approach towards understanding Neural Networks. VICTOR ZHOU
Python Developers Are in Demand on Vettery Vettery is an online hiring marketplace that’s changing the way people hire and get hired. Ready for a bold career move? Make a free profile, name your salary, and connect with hiring managers from top employers today → VETTERY sponsor
Docker Packaging Guide for Python A detailed guide to creating production-ready Docker images for your Python applications. ITAMAR TURNER-TRAURING
The 35 Words You Need to Python “I’m going to try, in this post and the ones that follow, to shed some light on the meaning of – and a little of the etymological history behind – the fundamental units of Python fluency. In this first part we will start with the most basic of those units, Python’s 35 keywords.” MICHAEL MOREHOUSE
Cyclical Learning Rates With Keras and Deep Learning In this tutorial, you will learn how to use Cyclical Learning Rates (CLR) and Keras to train your own neural networks. Using Cyclical Learning Rates you can dramatically reduce the number of experiments required to tune and find an optimal learning rate for your model. ADRIAN ROSEBROCK
Digging Deeper Into Migrations In this step-by-step Python tutorial, you’ll not only take a closer look at the new Django migrations system that is integrated into Django but also walk through the migration files themselves. REAL PYTHON
Best Practices for PySpark ETL Projects A tutorial on how best to reason about and structure ETL jobs written for PySpark, so that they are robust, reusable, testable, easy to debug and ready for production. ALEX IOANNIDES • Shared by Alex Ioannides
Efficiently Generating Python Hash Collisions “While this research demonstrates a fundamental break in the Python 3.2 (or below) hash algorithm, Python fixed this issue 7 years ago. It’s time to upgrade.” LEE HOLMES
The Best Editors and IDEs for Teaching Python In this episode of Teaching Python, Sean and Kelly discuss their top 5 favorite editors for teaching (and learning) Python. TEACHINGPYTHON.FM podcast
Beyond “Hello World”: Modern, Asynchronous Python in Kubernetes SEAN STEWART • Shared by Sean Stewart
Using Python to Build a Space Station Tracker, From Scratch DANIEL COHEN
How to Profile and Optimize Python Apps MARK KELLER
Python List Comprehension With Examples DEEPANSHU BHALLA
Projects & Code Wait Wait… Don’t Tell Me! Stats and Show Details Here, you will find almost everything you might want to know about the NPR news quiz show. Project is written in Python and partially open-source. WWDT.ME
PyCharm 2019.2 Has Been Released JETBRAINS.COM
aioquic: QUIC and HTTP/3 Implementation in Python GITHUB.COM/AIORTC
grapheneX: Automated System Hardening Framework GITHUB.COM/GRAPHENEX • Shared by keylo99
scaraplate: Update Already Created Cookiecutter Projects GITHUB.COM/RAMBLER-DIGITAL-SOLUTIONS • Shared by Alexander Shorin
python-fire 0.2.0 Released: Generate CLI From Any Python Object GITHUB.COM/GOOGLE
Grid Studio: Python Spreadsheet App to Make Data Science Easier RICK LAMERS
PyDist: Your Own Private PyPI PYDIST.COM
Lahja: Pure Python Event Bus for Multi-Process Apps That Supports Asyncio and Trio GITHUB.COM/ETHEREUM
Pyrasite: Tools for Injecting Code Into Running Python Processes PYRASITE.COM
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