The Mutable Trap: Avoiding Unintended Side Effects in Python

Ever had a Python function behave strangely, remembering values between calls when it shouldn’t? You’re not alone! This is one of Python’s sneakiest pitfalls—mutable default parameters. Recently someone asked for help in our Pybites Circle Community with a Bite exercise that seemed to be behaving unexpectedly. It turned out that this was a result of modifying a mutable parameter… Continue reading The Mutable Trap: Avoiding Unintended Side Effects in Python

A Better Place to Put Your Python Virtual Environments

Virtual environments are vital if you’re developing Python apps or just writing some Python scripts. They allow you to isolate different app requirements to prevent conflicts and keep your global OS environment clean. This is super important for many reasons. The most obvious one is requirements isolation. Let’s say that you’re working on two different… Continue reading A Better Place to Put Your Python Virtual Environments

Exploring the Role of Static Methods in Python: A Functional Perspective

Introduction Python’s versatility in supporting different programming paradigms, including procedural, object-oriented, and functional programming, opens up a rich landscape for software design and development. Among these paradigms, the use of static methods in Python, particularly in an object-oriented context, has been a topic of debate. This article delves into the role and implications of static… Continue reading Exploring the Role of Static Methods in Python: A Functional Perspective

6 Cool Things You Can Do With The Functools Module

In this article let’s look at the functools Standard Library module and 6 cool things you can do with it (be warned, a lot of decorators are coming your way! 😍) … 1. Cache (“memoize”) things You can use the @cache decorator (formerly called @lru_cache) as a “simple lightweight unbounded function cache”. The classic example is… Continue reading 6 Cool Things You Can Do With The Functools Module

Make Each Line Count, Keeping Things Simple in Python

A challenge in software development is to keep things simple 🤯 For your code to not grow overly complex over time 😱 Simple is better than complex.Complex is better than complicated. Zen of Python 🐍 Simplicity in your code means fewer possibilities for bugs to hide and easier debugging when they do arise 📈 It… Continue reading Make Each Line Count, Keeping Things Simple in Python

⚠️Why you should avoid import * in Python 🐍

Anyone who’s worked with Python knows that modules can be a Godsend, saving you time, effort, and many lines of code. They even have namespacing built-in 💪 😍 To expand on this a bit: However, not all ways of using modules are equally beneficial. In this article, we will discuss why using import * can… Continue reading ⚠️Why you should avoid import * in Python 🐍

The Arbitrary (Keyword) Arguments (args and kwargs) don’t come “for free” in Python

Python allows you to use *args and **kwargs in function definitions to accept an arbitrary number of positional and keyword arguments, respectively. Here is a simple example: Different types of function arguments In the above example, the arbitrary_args function is defined to accept any number of positional and keyword arguments using the *args and **kwargs… Continue reading The Arbitrary (Keyword) Arguments (args and kwargs) don’t come “for free” in Python

Avoiding Silent Failures in Python: Best Practices for Error Handling

In the world of programming, errors are inevitable. But how we choose to handle these errors can make the difference between a system that is robust and user-friendly and one that is fraught with ambiguous issues 😱 The Zen of Python famously states, “Errors should never pass silently.” This principle emphasizes the importance of addressing… Continue reading Avoiding Silent Failures in Python: Best Practices for Error Handling