Are we still pretending Python is the end-all, be-all language for coding? Let’s get real! Sure, it's the go-to for beginners, but has anyone stopped to think about how sluggish so much Python code is? The article titled "Simple Tricks To Make Your Python Code Faster" tries to sprinkle some fairy dust on this issue, but come on—just a few hacks won't solve the underlying problem of inefficiency and bloat that plagues this language!

It's frustrating to see so many new programmers dive headfirst into Python, only to find themselves stuck with performance issues that could have been avoided. The article offers "tricks" that might speed things up but ignores the fundamental question: Why are we still tolerating a language that requires all these workarounds? It's like trying to fix a leaky faucet with duct tape instead of just fixing the pipe!

As someone who's been in the trenches, I've spent countless hours debugging clunky Python code, all because I wanted to use a language that supposedly makes everything easier. The reality? It's a double-edged sword! If you're serious about coding, you need to consider alternatives that don't bind you to workarounds.

Let’s stop sugarcoating the problems and demand better from