Preparing for SDE interviews, I found algorithm practice to be the most time-consuming part. When I first started, those complex problems looked like hieroglyphics - totally overwhelming! But through trial and error, I discovered some effective ways to improve algorithm skills faster. Here's my journey.

Building the Foundation: The basics are crucial. Early on, I realized that knowing data structures and algorithms inside out makes all the difference. I focused intensely on:

1. Core structures: arrays, linked lists, stacks, graphs

2. Essential algorithms: binary search, DP, DFS/BFS

I didn't just read about them - I implemented each repeatedly. On LeetCode, I'd pick easy problems and solve them multiple times until the patterns became second nature.

My Breakthrough Strategy: What helped was systematic practice:

1. Pseudocode first: Sketching solutions before coding

2. Category-by-category: Mastering arrays before moving to DP

3. Complexity analysis: Calculating time/space for every solution

4. Solution optimization: Always asking "Can I do better?"

I still remember the first time I optimized a O(n²) solution to O(n) - that "aha!" moment kept me going.

Mock Interviews - The Game Changer: Practicing alone wasn't enough. Mock interviews transformed me:

1. Whiteboard coding skills

2. Problem explanation ability

3. Interview stamina

The feedback was brutal but invaluable. My first mock was a disaster - I froze on a basic tree problem. But by the fifth one, I could articulate my thought process clearly.

The Reality Check: Here's the truth no one tells you:

1. 10 problems/day is a myth - quality > quantity

2. Progress feels slow until it suddenly clicks

3. Every wrong solution teaches you something

I used to get discouraged seeing others' progress, until I realized my 1-2 quality solutions/day were building real skills.

Final Advice

1. Start early - this takes months, not weeks

2. Focus on patterns, not memorization

3. Embrace the struggle - confusion means you're learning

The process taught me more than algorithms. It built problem-solving muscles I use daily as an engineer. Remember, every expert was once a beginner staring at a problem they couldn't solve. Keep going!

Release time:2025-04-08

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