10 Wrong Ways to Learn Programming And How to Avoid Them

Learning programming can be overwhelming. From the outside, it seems like something you can pick up with a few tutorials and coding exercises. But in reality, there are many wrong approaches that can slow your progress. I’ve encountered many of these mistakes myself, and I want to share some tips to help you avoid them. Here are ten wrong ways to learn programming - and how to fix them.

1. Passive Watching Without Active Coding

Many beginners fall into the trap of endlessly watching tutorials without actively coding alongside them. While it might feel like you’re learning, programming is learned by doing. Watching someone else code isn’t enough - you need to try things on your own, make mistakes, and learn from them.

Whenever you watch a tutorial, code along with the instructor. Pause the video, try to implement features yourself, and make modifications. Hands-on practice is key to mastering programming concepts.

2. Memorizing Code Instead of Understanding Concepts

It’s tempting to memorize code snippets or syntax, but programming is about problem-solving, not rote learning. Memorizing code will only get you so far, and you’ll quickly hit a wall when faced with new challenges.

Focus on understanding the underlying concepts, algorithms, and logic behind the code. Ask yourself why the code works the way it does, and how it solves a particular problem. Once you understand the logic, writing code becomes much easier.

3. Staying in "Tutorial Hell" Too Long

A common trap many aspiring developers face is staying in "tutorial hell" - where you’re stuck watching one tutorial after another without ever building your own projects. Tutorials are great for learning the basics, but they can’t replace real-world practice.

After you’ve learned the fundamentals, break free from tutorials and start building your own small projects. Start with simple programs, like calculators or to-do lists, and gradually work your way up to more complex applications. Building your own projects will give you the confidence to apply your skills in real-world scenarios.

4. Skipping Documentation in Favor of Tutorials

While tutorials are great for getting started, they often don’t dive into the deeper intricacies of a programming language. Documentation is the most reliable and comprehensive resource available for learning a language or framework. Relying solely on tutorials means missing out on these critical details.

Make it a habit to consult official documentation regularly. It may be intimidating at first, but the documentation provides deeper insights into the language and helps you become a more independent programmer.

5. Relying Too Much on AI for Solutions

AI tools like ChatGPT and GitHub Copilot can generate solutions for your code, but relying on them too heavily early on can hinder your growth. Struggling through problems and figuring out solutions on your own is crucial for developing strong problem-solving skills.

Before turning to AI for help, spend time thinking through the problem yourself and testing different approaches. Use AI as a tool to complement your knowledge, not as a crutch. Eventually, you’ll need to get good at correcting AI-generated code and refining its output, but that only comes after you’ve built a solid foundation of your own problem-solving abilities.

6. Jumping Into Code Without Planning

It’s easy to dive straight into coding as soon as you get a new assignment, but without proper planning, you’ll often end up with messy, inefficient code. Jumping straight in without a plan can also make debugging more difficult.

Before you start coding, take a moment to think through the problem and outline a solution. Use pseudo-code, flowcharts, or diagrams to map out your approach. Planning saves time in the long run and helps you write more organized, maintainable code.

7. Comparing Your Progress to Others

In a field as competitive as programming, it’s easy to compare yourself to other developers who seem to be progressing faster. This can lead to frustration and burnout. Remember, everyone learns at their own pace, and comparison only steals your joy.

Focus on your own progress. Set personal goals and measure your achievements against them. Celebrate your own milestones, no matter how small they may seem. Everyone’s journey is different, and there’s always someone ahead and behind you.

8. Getting Frustrated by Failure

Programming can be frustrating, especially when things don’t work the way you expect. It’s easy to get disheartened when your code fails, but failure is a vital part of the learning process. Every error is an opportunity to learn.

Embrace failure as a learning tool. Debugging and troubleshooting are essential skills in programming. Every time you solve a problem or fix a bug, you’ve gained valuable experience that will make you a better programmer.

9. Avoiding Small, Simple Projects

Many beginners feel pressure to build big, impressive projects right away. But skipping over smaller, simpler projects can leave you without a solid foundation. Small projects allow you to practice the basics and improve your coding skills incrementally.

Start by building small, manageable projects, even if they seem “lame” at first. Simple projects like calculators, to-do lists, or basic games help you apply fundamental programming concepts. Once you’ve built a few small projects, you’ll be more prepared to take on larger challenges.

10. Expecting to Master Programming Quickly

Programming is a skill that takes time to develop. Expecting to master it quickly can lead to burnout and disappointment. Real growth comes from consistent, long-term practice.

Be patient with yourself. Recognize that learning to code is a marathon, not a sprint. Set realistic goals, stay consistent with your practice, and celebrate your progress along the way.

Final Thoughts

Learning programming isn’t easy, and it’s normal to stumble along the way. By avoiding these common mistakes, you can make your journey smoother and more productive. Remember, programming is a process of constant learning and improvement. Stay patient, stay persistent, and most importantly - keep coding!

Wei-Ming Thor

I create practical guides on Software Engineering, Data Science, and Machine Learning.

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Full-stack engineer who builds web and mobile apps. Now, exploring Machine Learning and Data Engineering. Read more

Writing unmaintainable code since 2010.

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