5 Python Hacks You Need to Know: Optimize your Performance and Workflow

Discover powerful Python techniques to optimize performance, improve debugging, save memory, and handle large data efficiently with generators and more!

You already know that Python is flexible and versatile, and one of the reasons it's so popular is because it’s easy to read and use. But, there’s a lot more to it than what you see at first glance, and even experienced developers can sometimes miss out on features that optimize performance.

Once you get past the basics, Python has some cool, advanced tools that can totally change the way you write, fix, and fine-tune your code. These tricks can really help make your coding faster and your programs run smoother.

In this article, we’ll go over five Python techniques that you probably haven't heard much about, but trust me, they can really improve how you code. Each section will break down what the technique is, why it’s helpful, and how to use it.

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I won’t spoil it all here but the five hacks we are going to look at will range from lru_cache to __slots__ all the way to one of the more efficient ways to debug your Python code!

Also did you know you can use the else statement with a loop?

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Alright, what are the 5 Python Hacks You Need to Know in order to optimize your performance and workflow? Let’s get to it nerds.