Welcome to my LeetCode Problem Solutions repository! This is a record of my journey as I solve various LeetCode problems to improve my coding skills and deepen my understanding of algorithms and data structures. In this repository, you'll find solutions to a wide range of LeetCode problems, along with explanations and code implementations.
LeetCode is a popular platform for practicing coding and algorithmic problem-solving. This repository serves as my personal collection of LeetCode problem solutions, which I use to track my progress, learn from my mistakes, and share my solutions with others who may find them helpful.
This repository is organized as follows:
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problems: This directory contains subdirectories for each problem category. Within each category subdirectory, you will find individual problem solutions, each in its own directory.
- Example:
problems/array/merge-sorted-array
contains solutions for the "Merge Sorted Array" problem.
- Example:
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resources: This directory includes any relevant resources, notes, or templates that I use during problem-solving sessions.
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scripts: Some problems may require auxiliary scripts or utilities. You can find those in this directory.
My approach to solving LeetCode problems typically involves the following steps:
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Understanding the Problem: I carefully read and understand the problem statement, making note of any special requirements, constraints, or edge cases.
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Planning and Pseudocode: Before jumping into coding, I plan my approach, sketch out a pseudocode solution, and identify key data structures and algorithms to use.
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Coding: I implement the solution in my preferred programming language, ensuring clean, well-documented code.
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Testing: I thoroughly test my solution using sample test cases, edge cases, and custom test cases to verify its correctness.
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Optimization: If necessary, I optimize my initial solution for better performance or memory usage. I also consider alternative approaches and compare their efficiency.
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Explanation: I provide explanations of my solutions, including time and space complexity analysis, to help others understand the thought process behind the code.
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Documentation: I update this README.md file with links to the solved problems and their corresponding explanations.
In this table:
#
represents the problem number.Title
contains a link to the problem's directory.Topic
categorizes the problems into the domain they represent (e.g. Algorithms, Database, Shell).Solution
indicates the programming language used for the solution.Difficulty
denotes the difficulty level of the problem (e.g., Easy, Medium, Hard).
You can add more rows to the table as you solve additional problems and provide links to the corresponding problem directories.
While this repository primarily serves as a record of my LeetCode problem-solving journey, contributions, feedback, and discussions are welcome! If you have suggestions for improving my solutions or spot any errors, please feel free to open an issue or submit a pull request.
This repository is licensed under the MIT License. You are welcome to use, modify, and distribute the code in this repository, but please provide attribution by linking back to this repository.