Topic Archive

Modern Python

  • Case Study: Developing and Testing Python Packages with uv

    Michael Aydinbas

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    11 min read

    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 how to import code that lives in a different place from where it is called. There are two natural ways to organise your code: modules and packages. Things are fairly straightforward in the beginning, when you start to organise your code and put some functionality…

  • Optimizing Python: Understanding Generator Mechanics, Expressions, and Efficiency

    Josh Engroff

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    5 min read

    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 their core, generator functions appear similar to regular functions but behave quite differently. The defining characteristic is the yield statement, which fundamentally alters the function’s execution model: When you call this function, it doesn’t execute immediately. Instead, it returns a generator object: This generator object…

  • Leveraging typing.Protocol: Faster Error Detection And Beyond Inheritance

    Bob Belderbos

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    9 min read

    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 their code. Unlike traditional dynamic typing, which Python is well-known for, typing.Protocol brings a layer of static type checking that allows for more explicit, readable, and robust code by defining expected behaviors and structures. This feature not only enhances code quality and developer productivity but…