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Let’s Talk About the Elephant in the Room
If you’re learning Python, you’ve probably felt stuck at some point. Maybe you’ve followed tutorials, built a few projects, even solved problems on LeetCode… yet something feels off.
You’re not alone. Most Python developers hit a wall where they stop improving—not because they lack skills, but because they’re doing things the wrong way.
The truth? You don’t need more tutorials. You need better strategies.
If you’ve been grinding away but still feel like you’re missing something, this article is for you. Let’s break down the biggest mistakes Python devs make—and the exact steps to fix them.
1. Tutorials Are Your Worst Enemy (After a While)
I get it—tutorials feel productive. They make you feel like you’re learning. But here’s the harsh truth:
If you only follow tutorials, you’ll never be a great developer.
Why? Because tutorials hand-hold you through everything. They don’t teach you how to think like a developer.
If you’ve spent months (or years) doing tutorials and still struggle to build things on your own, it’s time to break free.
What to do instead:
- Pick a real-world problem you care about.
- Build a project without a tutorial.
- When stuck, check Trending Discussions to see how experienced developers solve problems.
Your brain learns best when it struggles. If it feels hard, you’re doing it right.
2. You’re Not Studying the Right Code
If you’re writing Python but not reading Python, you’re missing half the game.
Most devs don’t realize this, but studying high-quality code teaches you more than writing code ever will.
Instead of randomly Googling solutions, start checking Trending Repositories where real-world, well-structured Python projects live.
How to learn from great code:
✅ Read a high-quality repo for 15 minutes daily.
✅ Look at how functions are structured, how errors are handled, and how code is formatted.
✅ Take one concept and apply it to your own projects.
Within weeks, your Python skills will skyrocket.
3. Debugging: The Skill No One Talks About (But Should)
Most devs suck at debugging. Not because they’re bad at Python, but because they don’t know how to debug properly.
If you’re still spamming print()
statements everywhere, you’re wasting time.
How to debug like a pro:
🚀 Use breakpoint()
and step through your code interactively.
🚀 Read every word of your error messages—they literally tell you what’s wrong.
🚀 Before panicking, search StackOverflow Trending to see if someone already solved your problem.
Good debugging = faster learning = better Python skills.
4. You’re Writing Too Much Code (Yes, Really)
The best developers write less code, not more.
Most beginners overcomplicate things. They write long, messy functions when a few clean lines would do the job.
How to fix this:
✅ Before writing code, ask yourself: "What’s the simplest way to solve this?"
✅ Always refactor. If your function is more than 10-15 lines, break it into smaller pieces.
✅ Learn from Developer Resources to see clean, professional coding practices.
Good Python code is simple, not clever.
5. You’re Learning in the Wrong Order
One reason Python devs feel stuck? They learn things backward.
Most people jump from basic syntax to building full apps—and then wonder why they feel lost.
Here’s a better way to structure your learning:
1️⃣ Master debugging first. If you can’t debug, you can’t fix your own code.
2️⃣ Study clean code principles. Well-structured code is easier to maintain.
3️⃣ Read real-world Python projects. Learn how professionals write code.
4️⃣ Write your own projects. No more tutorials—figure things out yourself.
Follow this roadmap, and Python will start making sense.
Final Thoughts: Stop Doing What Everyone Else Does
Most Python developers stay average because they do what everyone else does.
But you? You now know better.
✅ Stop relying on tutorials—build things yourself.
✅ Study great code instead of writing messy code.
✅ Debug like a pro, don’t just guess.
✅ Write less code, but make it better.
If you start applying these today, you’ll improve faster than 90% of developers.
Now go write smarter Python. 🚀
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Top comments (1)
Wonderful!