If you’ve ever felt stuck while learning Data Structures and Algorithms (DSA), you’re not alone. The real challenge isn’t intelligence or talent—it’s consistency. The good news? Science has a lot to say about how to build it, and the insights are surprisingly practical. Why Consistency Matters More Than Talent Research in Deliberate Practice , popularized by Anders Ericsson, shows that expertise isn’t about mindless repetition—it’s about focused, structured practice over time. In DSA, this means solving problems regularly, analyzing mistakes, and gradually increasing difficulty. Another key idea comes from the Spacing Effect . Studies show that learning is stronger when practice is spread out over time instead of crammed into long sessions. So solving 2–3 problems daily is far more effective than doing 20 in one day and burning out. The Brain Science Behind Habits Consistency is essentially a habit, and habits are governed by the brain’s reward system.…