Tutorials and articles of Inigo Quilez on computer graphics, fractals, math, art, demoscene, shaders and more.

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Have you ever wondered how some people seem to pick up new programming languages so quickly, while others struggle despite hours of tutorials and endless documentation? The secret isn’t just about putting in the time — it’s about how you use that time. In this article, we’ll explore how to learn any programming language efficiently using the 80–20 rule, spaced repetition, and project-based learning — backed by cognitive science and real developer experience. # The 80–20 Rule: Learn What Matters Most The Pareto Principle, or 80–20 rule, suggests that 20% of your efforts yield 80% of your results. In programming, this means that a small subset of language features — like core data types, loops, conditionals, and functions — makes up the majority of what you’ll use daily. Rather than trying to master every aspect of a language from the start, identify and focus on the most commonly used concepts. It’s like learning “Basic English” before diving into literary classics. This approach dramatically cuts learning time and boosts your confidence. # Interactive Learning > Passive Learning Many aspiring developers fall into the trap of passive learning — binging tutorials, reading blogs, or watching YouTube videos without writing a single line of code. The truth? You don’t learn programming by watching. You learn it by doing. Interactive learning — such as solving problems on platforms like LeetCode or building small programs — engages your brain, strengthens understanding, and helps you apply concepts in real-world scenarios. # The Science of Retention: Beat the Forgetting Curve We naturally forget what we don’t use. The Ebbinghaus Forgetting Curve shows how information quickly fades from memory unless it’s revisited at intervals. Enter spaced repetition — a proven technique to beat the curve. Instead of cramming, space your reviews over days or weeks. Use tools like Anki or review your code/projects periodically. This reinforces learning and helps concepts stick. # Build Projects That Build You Once you grasp the basics, start building projects — even small ones. Don’t wait until you “know enough.” Building is learning. Choose projects that gradually increase in difficulty. For example: Build a calculator Then a to-do app Then an API-connected dashboard Each project lets you apply what you know, identify gaps, and layer new concepts on top of existing knowledge. # Pick the Right Projects Learning isn’t the only benefit of project-based practice. Well-chosen projects can also: Showcase your skills to potential employers Demonstrate your problem-solving ability Reflect your interests and domain knowledge Focus on projects that solve real problems, align with your goals, or mimic challenges in your target job role. # Final Thoughts: Learn Smarter, Not Longer The traditional route of grinding through textbooks and tutorials is outdated. With a strategic approach — focusing on the essentials, practicing actively, reinforcing memory through spaced repetition, and building meaningful projects — you can learn programming faster and more effectively. Remember: You don’t need to know everything. You just need to know the right things, at the right time, in the right way. Start small. Stay consistent. Build often. Happy coding!

Learn how to knit for total beginners with this detailed knitting guide. Using video and photo tutorials, learn how to knit step by step through repetition.

Learn how to knit for total beginners with this detailed knitting guide. Using video and photo tutorials, learn how to knit step by step through repetition.