How to Start LeetCode: A Complete Beginner's Guide

LeetCode is the most widely used platform for practicing coding interview problems. It hosts over 3,000 problems across data structures, algorithms, SQL, and system design — and nearly every major tech company draws interview questions from patterns found on the platform.

Whether you are targeting FAANG companies, startups, or mid-size tech firms, LeetCode fluency gives you a concrete edge. Interviewers rarely ask problems verbatim from LeetCode, but the patterns repeat constantly: two pointers, hash maps, BFS/DFS, sliding windows, and dynamic programming.

If you have never used LeetCode before, the sheer volume of problems can feel overwhelming. This guide breaks the process into manageable steps so you can build momentum without burning out.

Creating a LeetCode account takes under a minute. Go to leetcode.com, sign up with your email or GitHub account, and you are ready to start solving problems immediately on the free tier.

LeetCode offers a free tier and a Premium subscription. The free tier gives you access to all problems, the code editor, discussion forums, and community solutions. Premium unlocks company-tagged problem lists, frequency data, and a few exclusive problems.

For beginners, the free tier is more than enough. Premium becomes valuable later when you are targeting specific companies and want to see which problems they ask most frequently. Do not spend money on Premium until you can comfortably solve Easy problems.

The language you choose for LeetCode matters less than you think, but some languages make the learning curve gentler. Python, Java, and JavaScript are the three most popular choices, each with clear trade-offs.

Python is used by over 60% of LeetCode users for interview preparation. Its concise syntax means less boilerplate, built-in data structures like defaultdict and heapq save time, and the code reads almost like pseudocode. If you have no strong preference, start with Python.

Java is the second most popular choice and is preferred at companies with Java-heavy stacks like Amazon and Google. It is more verbose than Python but has excellent standard library support for data structures. If your target company uses Java, practice in Java.

JavaScript and TypeScript are solid choices if you are a frontend or full-stack engineer. The language handles arrays and objects well, but you will need to implement some data structures (like heaps) yourself since they are not built in.

The biggest mistake beginners make is jumping into random problems without a plan. Your first 10 problems should build foundational skills: reading the problem statement carefully, understanding input/output formats, and writing clean solutions.

Start with these 10 problems in order. They are all rated Easy and cover the most common patterns you will see throughout your LeetCode journey. Spend no more than 20-30 minutes per problem before checking the solution.

Do not worry if you cannot solve a problem on your own yet. At this stage, learning from solutions is just as valuable as solving independently. Read the solution, understand the approach, then close it and try to rewrite it from memory.

You do not need a computer science degree to succeed on LeetCode, but you do need a minimum baseline of data structure and algorithm knowledge. Without it, you will stare at problems without knowing where to start.

Focus on five core data structures first: arrays, hash maps, linked lists, stacks, and queues. These cover the majority of Easy and Medium problems. Trees, graphs, and heaps come later once you are comfortable with the basics.

For algorithms, learn the fundamentals of Big O notation, two pointers, binary search, and basic recursion. You do not need to memorize formal definitions — you need to understand when and why each approach is used.

Consistency beats intensity when it comes to LeetCode preparation. Solving 3 problems per day for a month is far more effective than cramming 50 problems in a weekend. Your brain needs time to consolidate patterns between sessions.

Start with 3 problems per week in your first two weeks. This might feel slow, but you are building habits: reading problems carefully, thinking before coding, and reviewing solutions. Increase to 5 problems per week once you feel comfortable with the process.

Set a timer for each problem. Give yourself 20 minutes for Easy problems and 30 minutes for Medium problems. If you have not made meaningful progress by the timer, read the solution — there is no shame in learning from others at this stage.

Track your progress. Keep a spreadsheet or use YeetCode's progress dashboard to log which problems you have solved, which patterns you have seen, and which problems you need to revisit. Reviewing solved problems is just as important as solving new ones.

Once you have solved 30-50 Easy problems and feel comfortable with arrays, hash maps, stacks, and basic linked list operations, you are ready to level up. The natural next step is a curated problem list like the Blind 75 or Grind 75.

The Blind 75 is a list of 75 problems that cover the most important patterns for coding interviews. It was originally posted on Blind by a Google engineer and has become the de facto study plan for interview preparation. Grind 75 is a modernized version by the same author with a customizable schedule.

At this point, start paying attention to patterns rather than individual problems. When you solve a two-pointer problem, recognize it as a two-pointer problem. When you see a sliding window, name it. Pattern recognition is what separates candidates who solve 500 problems and still struggle from those who solve 100 and ace their interviews.