Maybe you’ve experienced something like this before: you’ve written code that works, but when you hit “run,” it takes forever. You stare at the spinner, wondering if it’s faster to just solve the problem by hand. But you end up looking something like...

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Slow code is a common issue for beginners. This guide explores seven frequent performance pitfalls and offers solutions to enhance code efficiency. Key topics include logging, loop optimization, database query handling, understanding hardware, memory management, array traversal, and avoiding unnecessary data copies. Practical examples and tips help developers write faster, more efficient code, and understand the importance of profiling and choosing appropriate data structures.

Why Your Code is Slow: Common Performance Mistakes Beginners Make

Mistake #1: Logging Everything in Production (Without Realizing It)

Mistake #2: Using the Wrong Loops (When There’s a Faster Alternative)

Mistake #3: Writing Database Queries Inside Loops (Killer of Speed)

Mistake #4: Not Knowing Your Hardware’s Dirty Secrets

I don’t know… maybe because people are using freaking interpreted languages? Go figure.

almost none of this are applicable to the python and other “high level” languages with its own runtime

So many ignorant comments here. I liked the tips even though i knew most of them and they were focused on python.

love this. this article is a good reminder that even when we think we’re there, we still have a lot to learn! i’ve written and optimized many production algorithms that have probably processed over $1B by now, but i’ve never had to really dive into how my code is actually running on the hardware