But here's the important part:
⚠️ A greedy choice doesn't automatically guarantee a globally optimal solution.
Learn to recognize when the greedy approach is actually justified.
1️⃣2️⃣ LEARN DYNAMIC PROGRAMMING LAST
Don't rush into DP. First become comfortable with: Recursion, Arrays, Hashing, Trees, State-based thinking
Then learn:
Memoization → Top-down
Tabulation → Bottom-up
The most important DP skill isn't memorizing formulas. It's identifying: "What is the state of this problem?"
1️⃣3️⃣ LEARN TIME & SPACE COMPLEXITY
For every solution, ask: How much time does it take? How much extra memory does it use?
Know the common patterns:
O(1) → Constant
O(log n) → Logarithmic
O(n) → Linear
O(n log n) → Linearithmic
O(n²) → Quadratic
1️⃣4️⃣ DON'T SOLVE RANDOM PROBLEMS
Organize your practice by topic.
For example: Arrays → Hashing → Two Pointers → Sliding Window → Stack → Linked List → Binary Search → Trees → Graphs → Greedy → DP
This makes patterns easier to recognize.
1️⃣5️⃣ REVISIT PROBLEMS YOU COULDN'T SOLVE
This is one of the most effective habits.
When you fail a problem, don't just memorize the answer. Ask:
👉 What concept did I miss?
👉 What clue should have helped me recognize the pattern?
👉 Why did my approach fail?
👉 Can I solve it now without looking?
Your mistakes reveal what you need to learn next.
1️⃣6️⃣ PRACTICE EXPLAINING YOUR SOLUTION
After solving a problem, explain:
Approach: What are you doing?
Why: Why does it work?
Complexity: How efficient is it?
Edge cases: What could break it?
This prepares you for the actual interview, not just the coding platform.
1️⃣7️⃣ USE AI THE RIGHT WAY
Use it to: 🤖 Explain a difficult concept, Give hints, Find bugs, Generate test cases, Compare two approaches, Explain complexity
But avoid: ❌ Asking for the solution immediately. Try the problem yourself first.
👉 Use AI as a tutor, not as a shortcut.
1️⃣8️⃣ BUILD A PROBLEM-SOLVING HABIT
You don't need to solve dozens of problems every day.
A consistent routine is better: Learn → Attempt → Get stuck → Debug → Understand → Re-solve → Review
Over time, you'll start recognizing patterns naturally.
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