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Jupyter & IPython Terminology Explained Are you trying to understand the differences between Jupyter Notebook, JupyterLab, IPython, Colab, and related terms? This article is for you. DATA SCHOOL

Asyncio Patterns in Python This post talks about how to go from a slow, synchronous process, to a highly concurrent and lightning fast asyncio process. This article starts from the problem in it’s most basic form and incrementally shows you how to move towards concurrency with Asyncio in Python. SKYLER LEWIS • Shared by CHernandez

Python Deque Tutorial With 7 Example Use Cases This tutorial teaches the mechanics of the data structure collections.deque, using seven example use cases where deque simplifies the implementation of a function. RODRIGO GIRÃO SERRÃO • Shared by Rodrigo Girão Serrão

Monkeying Around With Python: A Guide to Monkey Patching Monkey patching is the practice of modifying live code. This article shows you how its done and why and when to use the practice. KARISHMA SHUKLA

Improve the Architecture of Your Python Using import-linter For large Python projects, managing dependency relationships between modules can be challenging. Using import-linter, this task can be made easier. This article provides a simple introduction to the import-linter tool and presents 6 practical ways to fix inappropriate dependencies. PIGLEI • Shared by piglei

Blocked by Slow Code Reviews? Here’s How to Stop Waiting Code reviews are great - but they shouldn’t slow down your development. Sourcery can automatically review every one of your PR’s so your team can keep moving fast → SOURCERY sponsor

Summary of Major Changes Between Python Versions This article is a quick reference covering the major changes introduced with each new version of Python. Can’t remember when the walrus operator was introduced? This is the place to look that up. NICHOLAS HAIRS

Six Months With GitHub Copilot Richard has been coding with GitHub Copilot over the past six months, and he’s steadily seen it improve his productivity. Learn how it has changed his coding process. RICHARD LI

Specialized Python Libraries for Unique Tasks Python gets used for all sorts of stuff. This list of libraries highlights just how much is out there. Ranging from quick UI tools to text search, to movie editing. MARINE GOSSELIN

Python Debugging Handbook “Programming is an art, and bugs are an inevitable part of the creative process. Every developer encounters errors in their code – there’s really no exception to it. Because of this, understanding how to effectively debug is a crucial skill that can save you time and frustration.” SAMYAK JAIN

Where Have You Installed Your Python Packages? This article introduces virtual environments and what it means to run pip install. It includes information about the sys module and variables it uses to look for your packages. KE PI

My Proof-of-Concept Record Type As part of a conversation as to whether Python should include a struct-like syntax, Brett has created a project. This post outlines the proof-of-concept. BRETT CANNON

Python’s Soft Keywords Python includes soft keywords: tokens that are important to the parser but can also be used as variable names. This article shows you what a soft keyword is and how to find them in Python 3.12 (both the easy and hard way). RODRIGO GIRÃO SERRÃO

Banish State-Mutating Methods From Data Classes Redowan has strong opinions on reserving dataclasses for data-class purposes only: their methods should have no data modification side-effects. This article outlines why. REDOWAN DELOWAR