5 Python Coding Errors That Are Killing Your Speed (And How to Fix Them Today)
Slow Python code? 5 easy fixes for instant speed-up.
Hey there, fellow Pythonistas! I’m Daniel, an ex-Googler who now devotes my time to crafting web applications using Django and cultivating an obsession with Python. During the weekends, I’m active on Medium, conveying the valuable insights I’ve accumulated over time — all aimed at transforming you into a programming virtuoso.
Let’s be honest: there’s a particular type of frustration that comes from a Python script with the velocity of a lethargic tortoise. Be it a website that appears sluggish or a data analysis chore that extends for hours, slow code deteriorates the experience for all involved and might even jeopardize the triumph of your project.
But fear not! In this article, I’m going to break down some of the most common performance-sabotaging mistakes I’ve seen (and even made myself). Best of all, we won’t just talk about what not to do — I’ll give you actionable fixes and code examples to turn your scripts into lean, mean, Python machines.
Mistake #1: Looping Like It’s 1999
Listen, I have a strong affection for a well-crafted for
loop just like any other developer. They form the foundation of a…