| | Wow, so much has happened in the Python world last week! I don’t even know where to begin here… This issue is chock-full of actual Python news and, as usual, we’ve also got some interesting articles and tutorials for you. Happy Pythoning! — Dan Bader, Editor | | 2019 Python Steering Council Election Results Voting for the first Python steering council election following PEP 8100 closed on February 4. The members of the first steering council are: Barry Warsaw, Brett Cannon, Carol Willing, Guido van Rossum, Nick Coghlan. The council has broad authority to make decisions about the Python project, such as accepting or rejecting PEPs. PYTHON.ORG
Python Development in Visual Studio Code In this tutorial, you’ll learn how to use Visual Studio Code for Python development. By following examples, you’ll cover everything from how to install and configure Visual Studio Code for Python development to how to run tests and debug application, so you can use this powerful tool. REAL PYTHON
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Python Developers Survey 2018 Results Results of the official Python Developers Survey 2018 by the Python Software Foundation and JetBrains. More than 20k responses from more than 150 countries were collected. One takeaway as a teaser: Python 3 adoption hit 84%! PSF & JETBRAINS
How to Write a “Complete Program” From Start to Finish When is a program ever complete or finished? Inspiring article that shows you the process for writing programs of various “completion levels” for the same original use case. (This uses Ruby for the code examples but the same principles apply in Python.) RICHARD MAVIS
Dense Matrices Implementation in Python Machine learning algorithms often use matrices to store data and compute operations such as multiplications or singular value decomposition. In this article you’ll see how matrices are implemented in Python: how the data is stored and how much memory it consumes. STANISLAS MORBIEU
PyCon 2019 Reminders and Information “PyCon 2019 Early Bird tickets have sold out but registration at regular price is still available. If you are planning to attend, register soon as tickets will sell out and you don’t want to miss out on the largest Python Conference.” PYCON.BLOGSPOT.COM
Simple Dependent Types in Python A dependent type is a type whose definition depends on a value. For example, a dependent function’s return type may depend on the value (not just type) of an argument. This article shows you how to implement type checking for dependent types with Mypy. NIKITA SOBOLEV
Conda 4.6 Released Includes better Pip interoperability and PowerShell support on Windows. ANACONDA.COM
CPython 3.8.0a1 Now Available for Testing The most visible change so far is probably the implementation of PEP 572: Assignment Expressions with the := operator. PYTHONINSIDER.BLOGSPOT.COM
Discussions A Modern Version of Python? What the creator of Flask (and other popular Python projects) wishes for Python’s future. ARMIN RONACHER
Smart Python Script Template “When I start development of new code I always use a script that starts off with traceback and pdb “ HACKER NEWS
How to Toggle a Value in Python? In case you ever wondered what the most efficient way was to toggle between 0 and 1. STACK OVERFLOW
What Kind of Code Should You Put on Your GitHub Profile? REDDIT
Do Not Try This at Home… ;-) TWITTER.COM/REALPYTHON
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Articles & Tutorials Python Quiz Collection Use this collection of online Python quizzes as a fun way for you to check your learning progress and to test your skills. Each quiz takes you through a series of questions and you’ll receive a score at the end. REAL PYTHON
Tutorial for Writing a systemd Service in Python Many Linux distributions use systemd to manage the system’s services (or daemons), for example to automatically start certain services in the correct order when the system boots. This tutorial will help you write your first systemd service using Python. Nice writeup! FLORIAN BRUCKER
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Hashable Objects Must Be Immutable In Python, hashable objects must be immutable and mutable objects cannot be hashable. Why? Find out by reading the full article. AL SWEIGART • Shared by Ricky White
Mock vs MagicMock in Python What’s the difference between the two and when to use one over the other? RYAN ERMITA • Shared by Ryan Ermita
Why Python Is Not My Favorite Language (2016) Opinion-piece on some of Python’s flaws, as perceived by the author. ZENHACK.NET opinion
HFT-like Trading Algorithm in 300 Lines of Python A complete Python trading system example, using asyncio and 300 lines of code. HITOSHI HARADA
Practical Machine Learning With Python and Keras An introduction to machine learning with Python. Learn how to use the Keras library to train a simple neural network that recognizes handwritten digits. DANIEL PYRATHON
API/REST Testing Like Chuck Norris With pytest-play See how to write HTTP API tests with Pytest using YAML files thanks to pytest-play . DAVIDE MORO
Single Linked Lists in Python, With Examples See the different types of linked lists, how to traverse a linked list, how to insert and remove elements from a linked list, the different techniques to sort a linked list, how to reverse a linked list, and more. USMAN MALIK
Instagram Street Art Dataset and Detection Model How to build your own deep learning dataset and detection model using public Instagram photos and the TensorFlow and Keras frameworks. LEONARD BOGDONOFF
Why I Chose Flask to Build sr.ht’s Mini-Services “There are frameworks which are smaller still - but I think Flask hits a sweet spot. If you’re making a monolithic web app and can live within the on-rails Django experience, you might want to use it.” DREW DEVAULT
Formatting Numbers With Thousands Separators Quick tip: You can use f"{number:,}" to thousands-format an integer to a string. PETERBE.COM
Projects & Code agm: (Unofficial) Command Line Interface for Google APIs ALEX WENNERBERG • Shared by Alex Wennerberg
awesome-python-security: Curated List of Python Security Related Resources GITHUB.COM/GUARDRAILSIO • Shared by Python Bytes FM
StanfordNLP: NLP Python Library for Many Human Languages GITHUB.COM/STANFORDNLP
python-cheatsheet: Comprehensive Python Cheatsheet It is comprehensive, that’s for sure! GITHUB.COM/GTO76
A Neural Network Framework in 25 LOC “Framework” is a big word here, but this is a neat minimal example for a Python neural network. GITHUB.COM/MACOURNOYER
RustPython: A Python Interpreter Written in Rust Implements a basic Python 3.5+ interpreter in the Rust programming language. GITHUB.COM/RUSTPYTHON
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