Topic Archive
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Structuring Python projects properly, especially when developing packages, can often be confusing. Many developers struggle with common questions: To help clarify these common challenges, I’ll show how I typically set up Python projects and organise package structures using the Python package and environment manager, uv. The challenge A typical and recurring problem in Python is […]
Python generators provide an elegant mechanism for handling iteration, particularly for large datasets where traditional approaches may be memory-intensive. Unlike standard functions that compute and return all values at once, generators produce values on demand through the yield statement, enabling efficient memory usage and creating new possibilities for data processing workflows. Generator Function Mechanics At […]
Introduction Two weeks ago I wrote an article about ABCs and interface enforcement. Shortly after I learned that you can do this as well with protocols. Python 3.8 introduced quite a groundbreaking feature that further advanced the language’s capabilities in type checking: the typing.Protocol which allows Python developers to define and enforce interface contracts in […]