| 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.”
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.”
Automate Your Code Review Process With Codacy
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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.
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
Is Pipenv Dead? Why Has the Project Stopped?
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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.
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 →
Docker Packaging Guide for Python
A detailed guide to creating production-ready Docker images for your Python applications.
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.”
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.
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.
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.”
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.
Beyond “Hello World”: Modern, Asynchronous Python in Kubernetes
SEAN STEWART • Shared by Sean Stewart
Using Python to Build a Space Station Tracker, From Scratch
How to Profile and Optimize Python Apps
Python List Comprehension With Examples
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.
PyCharm 2019.2 Has Been Released
aioquic: QUIC and HTTP/3 Implementation in Python
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
Grid Studio: Python Spreadsheet App to Make Data Science Easier
PyDist: Your Own Private PyPI
Lahja: Pure Python Event Bus for Multi-Process Apps That Supports Asyncio and Trio
Pyrasite: Tools for Injecting Code Into Running Python Processes