Mastering Leetcode Patterns: A Step-by-Step Guide

Dec 21, 2021 | Programming

Welcome to the ultimate guide on becoming proficient in tackling programming challenges, especially for those nerve-wracking software engineering interviews. With the information derived from various resources, we will explore the essential techniques employed in solving Leetcode problems effectively.

Background

This repository, known as Leetcode Patterns, is tailored for individuals who aim to enhance their problem-solving capabilities. It categorizes numerous challenges under specific subtopics, encouraging you to master frequently observed patterns instead of randomly attempting various problems. Most of the questions can be found at leetcode.com, with some available only through leetcode premium.

Fundamentals

To maximize your success while practicing, it’s beneficial to have a solid understanding of various data structures and their operations. Here’s what you should focus on:

  • Arrays
  • Maps
  • Linked Lists
  • Queues
  • Heaps
  • Stacks
  • Trees
  • Graphs

Alongside data structures, familiarizing yourself with key algorithms will be invaluable, such as:

  • Breadth-first search
  • Depth-first search
  • Binary search
  • Recursion

Notes

For those studying Java, refer to this PDF for insights into fundamental data structures.

Some useful methods you should be aware of include:

Question List

You can explore the complete question list at this link.

Solutions

If you’re looking for solutions written in Java, check out the solutions branch.

Suggestions

If you think a question should be included or have suggestions for additional features, feel free to open an issue.

Acknowledgements

This compilation draws inspiration from Grokking the Coding Interview, supplemented with extra challenges from the Blind 75 list and a HackerNoon article discussing 14 patterns to ace any coding interview question.

Troubleshooting

If you find yourself struggling with specific problems, consider revisiting the fundamentals of the data structures or algorithms relevant to that problem. Applying the learned methods in theoretical scenarios can also aid your understanding. If you’re stuck, feel free to reach out for help or visit community forums.

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