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Yan
Yan

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I’m Done with Python. Here’s Why I’m Dropping It

I’m Done with Python. (Or so I thought).
I’m dropping it. I’m quitting. I’ve had enough of the "Global Interpreter Lock," the slow execution speeds, and the constant "indentation errors." For a moment, I really thought I was finished with Python. I looked at Mojo, I looked at Rust, and I thought: “This is it. I’m moving on.”

But then, I looked deeper into the abyss. And the abyss was written in Python.

The Temptation to Quit
Every developer reaches a point where they want to throw Python out the window. You hit a performance bottleneck, or you get frustrated with dependency management. The "Quitters' Trap" tells you that the grass is greener in a lower-level language. But before you drop it, you need to understand what you’re actually walking away from.

The Philosophy You Can’t Replace
Why is it so hard to actually leave? It’s the philosophy.
Most languages are designed for computers. Python was designed for humans.
The "Zen of Python" isn't just a README file; it's a productivity cheat code. When you say "I’m done with Python," you are saying you’re done with readability, rapid prototyping, and the most intuitive syntax ever created.

Where the Power Really Lies
If you quit Python now, you are quitting the most dominant fields of 2026:

The AI Monopoly: You can’t drop Python without dropping the entire AI revolution. From LLMs to computer vision, Python is the only language that matters here.

The Human-Speed Paradox: Machines are getting faster and cheaper; developers are getting more expensive. Python wins because it saves your time, not the CPU’s time.

The "Glue" Power: Python is the ultimate connector. It’s not about being the fastest; it’s about being the one that brings everything together—C++, Rust, and SQL—into one cohesive system.

Don’t Drop It. Pivot.
If you feel like quitting, don't change the language. Change how you use it.
Stop writing "script-kid" Python and start using its high-level features:

Master the Asynchronous world.

Deep dive into Metaprogramming.

Leverage FastAPI for lightning-fast backends.

Conclusion
So, am I done with Python? No. I’m done with basic Python. I’m dropping the novice habits. I’m staying, because in the age of AI and massive data, Python isn’t just a tool—it’s the operating system of modern innovation.

Are you ready to quit, or are you ready to finally get serious?

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