Every Friday, you'll get a recap of the most important and exciting Python and coding news. The Friday Loop also keeps everyone posted on new ArjanCodes courses and any limited offers coming up.
15 POWERFUL Python Libraries You Should Be Using | Issue #23
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The Friday Loop
Every Friday, you'll get a recap of the most important and exciting Python and coding news. The Friday Loop also keeps everyone posted on new ArjanCodes courses and any limited offers coming up.
Have you ever looked at a Python script and thought: “Why is this slow? The logic is trivial.” Very often, the problem isn’t what your code does, but how often it does expensive work. In this week’s video, I start with a deliberately inefficient example: parsing a large CSV file multiple times. From there, I use it as a vehicle to introduce 10 powerful Python features that many developers either don’t know about or don’t know when to apply. I look at things like: • caching expensive...
I almost didn’t publish this week’s video. It’s about the Specification design pattern, and if I’m honest, the final version of the code scared me a little. It’s complex, abstract, and in many cases… absolutely overengineered. But there’s a reason I still decided to share it. In the video, I explore how the Specification pattern tackles a very real problem: business rules duplicated across different parts of a system, slowly drifting apart and becoming harder to change safely. Is this...
Most Python developers know dataclasses. Or at least… they think they do 🙂. You add @dataclass, define a few fields, and enjoy writing less boilerplate. But dataclasses hide a lot more power than most people realize and some of that power can quietly bite you if you don’t understand what’s really going on. In this week’s video, I walk through 7 lesser-known dataclass features that make your code safer, clearer, and easier to maintain. I start with common pitfalls like mutable defaults, then...